{"title":"Probability, Statistics \u0026 Data Analysis","description":"\u003cp\u003eExplore probability, statistics, data analysis, and quantitative-methods books for students, researchers, educators, and working professionals. U.S. delivery only.\u003c\/p\u003e","products":[{"product_id":"statistical-abstract-of-the-united-states-issue-15-paperback","title":"Statistical Abstract Of The United States, Issue 15 - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eUnited States Dept of the Treasury Bu\u003c\/b\u003e (Created by), \u003cb\u003eUnited States Dept of Commerce and La\u003c\/b\u003e (Created by), \u003cb\u003eUnited States Bureau of Foreign and Do\u003c\/b\u003e (Created by)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.\u003c\/p\u003e\u003cp\u003eThis work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.\u003c\/p\u003e\u003cp\u003eAs a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 366\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.76 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e March 24, 2019\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52470426468650,"sku":"9781010999935","price":47.24,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/tSGujd2pPI9781010999935.webp?v=1788463586"},{"product_id":"logic-with-a-probability-semantics-including-solutions-to-some-philosophical-problems-hardcover-1","title":"Logic with a Probability Semantics: Including Solutions to Some Philosophical Problems - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eTheodore Hailperin\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe present study is an extension of the topic introduced in Dr. Hailperin's Sentential Probability Logic, where the usual true-false semantics for logic is replaced with one based more on probability, and where values ranging from 0 to 1 are subject to probability axioms. Moreover, as the word \"sentential\" in the title of that work indicates, the language there under consideration was limited to sentences constructed from atomic (not inner logical components) sentences, by use of sentential connectives (\"no,\" \"and,\" \"or,\" etc.) but not including quantifiers (\"for all,\" \"there is\"). \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eAn initial introduction presents an overview of the book. In chapter one, Halperin presents a summary of results from his earlier book, some of which extends into this work. It also contains a novel treatment of the problem of combining evidence: how does one combine two items of interest for a conclusion-each of which separately impart a probability for the conclusion-so as to have a probability for the conclusion based on taking both of the two items of interest as evidence? \u003cp\u003e\u003c\/p\u003eChapter two enlarges the Probability Logic from the first chapter in two respects: the language now includes quantifiers (\"for all,\" and \"there is\") whose variables range over atomic sentences, not entities as with standard quantifier logic. (Hence its designation: ontological neutral logic.) A set of axioms for this logic is presented. A new sentential notion--the suppositional--in essence due to Thomas Bayes, is adjoined to this logic that later becomes the basis for creating a conditional probability logic. \u003cp\u003e\u003c\/p\u003eChapter three opens with a set of four postulates for probability on ontologically neutral quantifier language. Many properties are derived and a fundamental theorem is proved, namely, for any probability model (assignment of probability values to all atomic sentences of the language) there will be a unique extension of the probability values to all closed sentences of the language.\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eTheodore Hailperin\u003c\/b\u003e is emeritus professor of mathematics at Lehigh University. He has also worked as an aerodynamic ballistician at the Ballistics Research Laboratory in Aberdeen, MD.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 126\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.6 x 9.1 x 6.1 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e December 16, 2010\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486378160426,"sku":"9781611460100","price":179.37,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/Ui5m024j0F9781611460100_8d983b3e-9f28-4df8-b025-45e0e527d5d5.webp?v=1788545018"},{"product_id":"ergodic-theory-and-topological-dynamics-of-group-actions-on-homogeneous-spaces-paperback-1","title":"Ergodic Theory and Topological Dynamics of Group Actions on Homogeneous Spaces - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eM. Bachir Bekka\u003c\/b\u003e (Author), \u003cb\u003eMatthias Mayer\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eThe study of geodesic flows on homogeneous spaces is an area of research that has recently yielded some fascinating developments. This book focuses on many of these, with one of its highlights an elementary and complete proof by Margulis and Dani of Oppenheim's conjecture. Other features are self-contained treatments of an exposition of Ratner's work on Raghunathan's conjectures; a complete proof of the Howe-Moore vanishing theorem for general semisimple Lie groups; a new treatment of Mautner's result on the geodesic flow of a Riemannian symmetric space; Mozes' result about mixing of all orders and the asymptotic distribution of lattice points in the hyperbolic plane; and Ledrappier's example of a mixing action which is not a mixing of all orders.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 212\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.48 x 9 x 6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e May 11, 2000\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486378520874,"sku":"9780521660303","price":171.51,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/8GvGQdBGQl9780521660303_127752e1-b928-459c-8d75-12208ccfcf5f.webp?v=1788545018"},{"product_id":"a-general-introduction-to-data-analytics-hardcover-1","title":"A General Introduction to Data Analytics - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eJoão Moreira\u003c\/b\u003e (Author), \u003cb\u003eAndre Carvalho\u003c\/b\u003e (Author), \u003cb\u003eTomás Horvath\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eA guide to the principles and methods of data analysis that does not require knowledge of statistics or programming\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eA General Introduction to Data Analytics\u003c\/i\u003e is an essential guide to understand and use data analytics. This book is written using easy-to-understand terms and does not require familiarity with statistics or programming. The authors--noted experts in the field--highlight an explanation of the intuition behind the basic data analytics techniques. The text also contains exercises and illustrative examples.\u003c\/p\u003e \u003cp\u003eThought to be easily accessible to non-experts, the book provides motivation to the necessity of analyzing data. It explains how to visualize and summarize data, and how to find natural groups and frequent patterns in a dataset. The book also explores predictive tasks, be them classification or regression. Finally, the book discusses popular data analytic applications, like mining the web, information retrieval, social network analysis, working with text, and recommender systems. The learning resources offer: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eA guide to the reasoning behind data mining techniques\u003c\/li\u003e \u003cli\u003eA unique illustrative example that extends throughout all the chapters\u003c\/li\u003e \u003cli\u003eExercises at the end of each chapter and larger projects at the end of each of the text's two main parts\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eTogether with these learning resources, the book can be used in a 13-week course guide, one chapter per course topic.\u003c\/p\u003e \u003cp\u003eThe book was written in a format that allows the understanding of the main data analytics concepts by non-mathematicians, non-statisticians and non-computer scientists interested in getting an introduction to data science. \u003ci\u003eA General Introduction to Data Analytics \u003c\/i\u003eis a basic guide to data analytics written in highly accessible terms.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eA guide to the principles and methods of data analysis that does not require knowledge of statistics or programming\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eA General Introduction to Data Analytics\u003c\/i\u003e is an essential guide to understand and use data analytics. This book is written using easy-to-understand terms and does not require familiarity with statistics or programming. The authors--noted experts in the field--highlight an explanation of the intuition behind the basic data analytics techniques. The text also contains exercises and illustrative examples. \u003c\/p\u003e\u003cp\u003eThought to be easily accessible to non-experts, the book provides motivation to the necessity of analyzing data. It explains how to visualize and summarize data, and how to find natural groups and frequent patterns in a dataset. The book also explores predictive tasks, be them classification or regression. Finally, the book discusses popular data analytic applications, like mining the web, information retrieval, social network analysis, working with text, and recommender systems. The learning resources offer: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eA guide to the reasoning behind data mining techniques\u003c\/li\u003e \u003cli\u003eA unique illustrative example that extends throughout all the chapters\u003c\/li\u003e \u003cli\u003eExercises at the end of each chapter and larger projects at the end of parts II and III of the book\u003c\/li\u003e \u003cli\u003eSupplemented with PowerPoint slides available for instructors on a Wiley Book Companion Site\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eTogether with these learning resources, the book can be used in a 13-week course guide, one chapter per course topic. \u003c\/p\u003e\u003cp\u003eThe book was written in a format that allows the understanding of the main data analytics concepts by non-mathematicians, non-statisticians and non-computer scientists interested in getting an introduction to data science. \u003ci\u003eA General Introduction to Data Analytics\u003c\/i\u003e is a basic guide to data analytics written in highly accessible terms.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eJoão Mendes Moreira, PhD, \u003c\/b\u003e is an assistant professor in the Faculty of Engineering at the University of Porto, Porto, Portugal and is also a researcher in LIAAD-INESC TEC, Porto, Portugal. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eAndré de Carvalho, PhD, \u003c\/b\u003e is a full professor in the Institute of Mathematics and Computer Science at the University of São Paulo, Brazil. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eTomás Horváth, PhD, \u003c\/b\u003e is an assistant professor at the Faculty of Informatics of the Eötvös Loránd University in Budapest, Hungary, and is also associated with the Faculty of Science at the Pavol Jozef Safárik University in Kosice, Slovakia.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 352\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.9 x 9.1 x 6.1 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 18, 2018\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486378389802,"sku":"9781119296249","price":173.04,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/r1JkI4szim9781119296249_b5ba2933-4597-4ea2-ab05-e399590dc1e7.webp?v=1788545018"},{"product_id":"sas-programming-with-medicare-administrative-data-paperback-1","title":"SAS Programming with Medicare Administrative Data - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eMatthew Gillingham\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eSAS Programming with Medicare Administrative Data is the most comprehensive resource available for using Medicare data with SAS. This book teaches you how to access Medicare data and, more importantly, how to apply this data to your research. Matthew Gillingham has created a book that is both a foundation for programmers new to Medicare data and a comprehensive reference for experienced programmers.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eMatthew Gillingham is the director of health research systems at Mathematica Policy Research. His career in health care data analytics began with analyzing commercial claims and enrollment data. For more than ten years, he has used SAS to build software that analyzes administrative health care and Medicare administrative data. Specifically, Gillingham directs systems research and development work that uses large Medicare claims and enrollment data files to monitor and report on health care quality and utilization for the Centers for Medicare \u0026amp; Medicaid Services. In addition, he provides technical assistance and quality assurance on projects that use Medicare data to create analytic files for program evaluation, monitoring, and other research purposes.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 168\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.36 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e May 01, 2014\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486379503914,"sku":"9781612903224","price":69.82,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/b8JFv_zJZ19781612903224_aa5ef551-d298-45bc-8ab0-7d9df85708a0.webp?v=1788545020"},{"product_id":"percolation-theory-and-ergodic-theory-of-infinite-particle-systems-paperback-1","title":"Percolation Theory and Ergodic Theory of Infinite Particle Systems - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eHarry Kesten\u003c\/b\u003e (Editor)\u003c\/p\u003e\u003cp\u003eThis IMA Volume in athematics and its Applications PERCOLATION THEORY AND ERGODIC THEORY OF INFINITE PARTICLE SYSTEMS represents the proceedings of a workshop which was an integral part of the 19R4-85 IMA program on STOCHASTIC DIFFERENTIAL EQUATIONS AND THEIR APPLICATIONS We are grateful to the Scientific Committee: naniel Stroock (Chairman) Wendell Fleming Theodore Harris Pierre-Louis Lions Steven Orey George Papanicolaoo for planning and implementing an exciting and stimulating year-long program. We especially thank the Workshop Organizing Committee, Harry Kesten (Chairman), Richard Holley, and Thomas Liggett for organizing a workshop which brought together scientists and mathematicians in a variety of areas for a fruitful exchange of ideas. George R. Sell Hans Weinherger PREFACE Percolation theory and interacting particle systems both have seen an explosive growth in the last decade. These suhfields of probability theory are closely related to statistical mechanics and many of the publications on these suhjects (especially on the former) appear in physics journals, wit a great variahility in the level of rigour. There is a certain similarity and overlap hetween the methods used in these two areas and, not surprisingly, they tend to attract the same probabilists. It seemed a good idea to organize a workshop on \"Percolation Theory and Ergodic Theory of Infinite Particle Systems\" in the framework of the special probahility year at the Institute for Mathematics and its Applications in 1985-86. Such a workshop, dealing largely with rigorous results, was indeed held in February 1986.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 323\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.71 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e March 07, 2013\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486379602218,"sku":"9781461387367","price":106.77,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/86Q9cY_JZn9781461387367_0f0178cc-e27d-408a-bbf1-11e30db6f635.webp?v=1788545020"},{"product_id":"probably-not-future-prediction-using-probability-and-statistical-inference-paperback-1","title":"Probably Not: Future Prediction Using Probability and Statistical Inference - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eLawrence N. Dworsky\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eA revised edition that explores random numbers, probability, and statistical inference at an introductory mathematical level\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWritten in an engaging and entertaining manner, the revised and updated second edition of \u003ci\u003eProbably Not \u003c\/i\u003econtinues to offer an informative guide to probability and prediction. The expanded second edition contains problem and solution sets. In addition, the book's illustrative examples reveal how we are living in a statistical world, what we can expect, what we really know based upon the information at hand and explains when we only \u003ci\u003ethink \u003c\/i\u003ewe know something.\u003c\/p\u003e \u003cp\u003eThe author introduces the principles of probability and explains probability distribution functions. The book covers combined and conditional probabilities and contains a new section on Bayes Theorem and Bayesian Statistics, which features some simple examples including the Presecutor's Paradox, and Bayesian vs. Frequentist thinking about statistics. New to this edition is a chapter on Benford's Law that explores measuring the compliance and financial fraud detection using Benford's Law. This book: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eContains relevant mathematics and examples that demonstrate how to use the concepts presented\u003c\/li\u003e \u003cli\u003eFeatures a new chapter on Benford's Law that explains why we find Benford's law upheld in so many, but not all, natural situations\u003c\/li\u003e \u003cli\u003ePresents updated Life insurance tables\u003c\/li\u003e \u003cli\u003eContains updates on the Gantt Chart example that further develops the discussion of random events\u003c\/li\u003e \u003cli\u003eOffers a companion site featuring solutions to the problem sets within the book\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eWritten for mathematics and statistics students and professionals, the updated edition of \u003ci\u003eProbably Not: Future Prediction Using Probability and Statistical Inference, Second Edition \u003c\/i\u003ecombines the mathematics of probability with real-world examples.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eLAWRENCE N. DWORSKY, PhD, \u003c\/b\u003eis a retired Vice President of the Technical Staff and Director of Motorola's Components Research Laboratory in Schaumburg, Illinois, USA. He is the author of \u003ci\u003eIntroduction to Numerical Electrostatics Using MATLAB \u003c\/i\u003efrom Wiley.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eA revised edition that explores random numbers, probability, and statistical inference at an introductory mathematical level\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eWritten in an engaging and entertaining manner, the revised and updated second edition of \u003ci\u003eProbably Not\u003c\/i\u003e continues to offer an informative guide to probability and prediction. The expanded second edition contains problem and solution sets. In addition, the book's illustrative examples reveal how we are living in a statistical world, what we can expect, what we really know based upon the information at hand and explains when we only \u003ci\u003ethink\u003c\/i\u003e we know something. \u003c\/p\u003e\u003cp\u003eThe author introduces the principles of probability and explains probability distribution functions. The book covers combined and conditional probabilities and contains a new section on Bayes Theorem and Bayesian Statistics, which features some simple examples including the Presecutor's Paradox, and Bayesian vs. Frequentist thinking about statistics. New to this edition is a chapter on Benford's Law that explores measuring the compliance and financial fraud detection using Benford's Law. This book: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eContains relevant mathematics and examples that demonstrate how to use the concepts presented\u003c\/li\u003e \u003cli\u003eFeatures a new chapter on Benford's Law that explains why we find Benford's law upheld in so many, but not all, natural situations\u003c\/li\u003e \u003cli\u003ePresents updated Life insurance tables\u003c\/li\u003e \u003cli\u003eContains updates on the Gantt Chart example that further develops the discussion of random events\u003c\/li\u003e \u003cli\u003eOffers a companion site featuring solutions to the problem sets within the book\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eWritten for mathematics and statistics students and professionals, the updated edition of \u003ci\u003eProbably Not: Future Prediction Using Probability and Statistical Inference, Second Edition\u003c\/i\u003e combines the mathematics of probability with real-world examples.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eLAWRENCE N. DWORSKY, PHD, \u003c\/b\u003e is a retired Vice President of the Technical Staff and Director of Motorola's Components Research Laboratory in Schaumburg, Illinois, USA. He is the author of \u003ci\u003eIntroduction to Numerical Electrostatics Using MATLAB(R)\u003c\/i\u003e from Wiley.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 352\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.7 x 9 x 6.1 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 04, 2019\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486380159274,"sku":"9781119518105","price":179.49,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/FgjHYrkKcL9781119518105_2a6f554b-5cf5-4ee2-bbb0-baedd45ed28e.webp?v=1788545020"},{"product_id":"simulating-data-with-sas-paperback-1","title":"Simulating Data with SAS - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eRick Wicklin\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eBrings together the most useful algorithms and the best programming techniques for efficient data simulation in an accessible how-to book for practicing statisticians and statistical programmers.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 354\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.75 x 11 x 8.25 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e April 22, 2013\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486380618026,"sku":"9781612903323","price":139.17,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/OAAfJ8xEyN9781612903323_0fae54ab-2995-4092-be9c-aaec64a361e8.webp?v=1788545021"},{"product_id":"nonstandard-methods-in-stochastic-analysis-and-mathematical-physics-paperback-1","title":"Nonstandard Methods in Stochastic Analysis and Mathematical Physics - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eSergio Albeverio\u003c\/b\u003e (Author), \u003cb\u003eJens Erik Fenstad\u003c\/b\u003e (Author), \u003cb\u003eRaphael Hoegh-Krohn\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eTwo-part treatment begins with a self-contained introduction to the subject, followed by applications to stochastic analysis and mathematical physics. \"A welcome addition.\" - Bulletin of the American Mathematical Society. 1986 edition.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eSergio Albeverio is an award-winning mathematical physicist who taught in universities all over the world. Jens Erik Fenstad is a mathematician who taught at the University of Oslo and served as a member of the NATO Science Committee. Raphael Hoegh-Krohn was one of the outstanding mathematical physicists of our age. Tom Lindstrom is a professor of mathematics teaching at the University of Oslo. \u003cbr\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 526\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.2 x 9.1 x 6.1 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e February 26, 2009\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486381338922,"sku":"9780486468990","price":43.23,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/PLues2vRUR9780486468990_d406db4b-7086-4441-8581-37739931c315.webp?v=1788545022"},{"product_id":"text-mining-and-analysis-practical-methods-examples-and-case-studies-using-sas-paperback-1","title":"Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SAS - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eGoutam Chakraborty\u003c\/b\u003e (Author), \u003cb\u003eMurali Pagolu\u003c\/b\u003e (Author), \u003cb\u003eSatish Garla\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eBig data: It's unstructured, it's coming at you fast, and there's lots of it. In fact, the majority of big data is text-oriented, thanks to the proliferation of online sources such as blogs, emails, and social media. However, having big data means little if you can't leverage it with analytics. Now you can explore the large volumes of unstructured text data that your organization has collected with Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SAS. This hands-on guide to text analytics using SAS provides detailed, step-by-step instructions and explanations on how to mine your text data for valuable insight. Through its comprehensive approach, you'll learn not just how to analyze your data, but how to collect, cleanse, organize, categorize, explore, and interpret it as well. Text Mining and Analysis also features an extensive set of case studies, so you can see examples of how the applications work with real-world data from a variety of industries. Text analytics enables you to gain insights about your customers' behaviors and sentiments. Leverage your organization's text data, and use those insights for making better business decisions with Text Mining and Analysis.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 340\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.71 x 11 x 8.25 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e October 25, 2013\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486381535530,"sku":"9781612905518","price":132.72,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/B_IgsKKe4C9781612905518_1b0326ad-a616-4adc-922c-be6d9cede97a.webp?v=1788545022"},{"product_id":"loss-data-analysis-the-maximum-entropy-approach-paperback-1","title":"Loss Data Analysis: The Maximum Entropy Approach - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eHenryk Gzyl\u003c\/b\u003e (Author), \u003cb\u003eSilvia Mayoral\u003c\/b\u003e (Author), \u003cb\u003eErika Gomes-Gonçalves\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e This volume deals with two complementary topics. On one hand the book deals with the problem of determining the the probability distribution of a positive compound random variable, a problem which appears in the banking and insurance industries, in many areas of operational research and in reliability problems in the engineering sciences. \u003c\/p\u003e \u003cp\u003e On the other hand, the methodology proposed to solve such problems, which is based on an application of the maximum entropy method to invert the Laplace transform of the distributions, can be applied to many other problems. \u003c\/p\u003e \u003cp\u003e The book contains applications to a large variety of problems, including the problem of dependence of the sample data used to estimate empirically the Laplace transform of the random variable. \u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e \u003cstrong\u003eContents\u003cbr\u003e\u003c\/strong\u003eIntroduction\u003cbr\u003eFrequency models\u003cbr\u003eIndividual severity models\u003cbr\u003eSome detailed examples\u003cbr\u003eSome traditional approaches to the aggregation problem\u003cbr\u003eLaplace transforms and fractional moment problems\u003cbr\u003eThe standard maximum entropy method\u003cbr\u003eExtensions of the method of maximum entropy\u003cbr\u003eSuperresolution in maxentropic Laplace transform inversion\u003cbr\u003eSample data dependence\u003cbr\u003eDisentangling frequencies and decompounding losses\u003cbr\u003eComputations using the maxentropic density\u003cbr\u003eReview of statistical procedures \u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cstrong\u003e\u003c\/strong\u003e \u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eHenryk Gzyl\u003c\/strong\u003e \u003c\/p\u003e \u003cp\u003ehas a PhD in Mathematics from UCSD. He works in Quantitatve Finance and Inverse Problems at The Center for Finance of IESA in Caracas. There he lectures on Risk and Portfolio Optimization. \u003c\/p\u003e\u003cstrong\u003e\u003c\/strong\u003e \u003cp\u003e\u003cstrong\u003eSilvia Mayoral\u003c\/strong\u003e \u003c\/p\u003e \u003cp\u003eis Professor of Finance in the Business Department of Carlos III University, Spain. Her academic activity is devoted to Financial Markets, with a special focus on Risk Measurement and Asset Pricing. \u003c\/p\u003e\u003cstrong\u003e\u003c\/strong\u003e \u003cp\u003e\u003cstrong\u003eErika Gomes-Gonçalves\u003c\/strong\u003e \u003c\/p\u003e \u003cp\u003ePh.D. in Business and Quantitative Methods at the University Carlos III of Madrid (UC3M), Spain. Bachelor in Mathematics at Simón Bolívar University (USB), Caracas, Venezuela. Currently, she works as Independent Scholar and Data Science Consultant in Madrid. \u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 222\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.47 x 9.61 x 6.69 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e March 17, 2023\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486381830442,"sku":"9783111047386","price":117.05,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/r3ITuQ5olf9783111047386_cc5a327b-dac3-49fa-b2e0-09c06e07f416.webp?v=1788545022"},{"product_id":"jmp-for-basic-univariate-and-multivariate-statistics-methods-for-researchers-and-social-scientists-second-edition-paperback-1","title":"JMP for Basic Univariate and Multivariate Statistics: Methods for Researchers and Social Scientists, Second Edition - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eAnn Lehman\u003c\/b\u003e (Author), \u003cb\u003eNorm O'Rourke\u003c\/b\u003e (Author), \u003cb\u003eLarry Hatcher\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eUpdated for JMP 10, the book provides hands-on tutorials with just the right amount of conceptual and motivational material to illustrate how to use the intuitive interface for data analysis in JMP. Features concept-specific tutorials, examples, brief reviews of concepts, step-by-step illustrations, and exercises.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 558\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.13 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e April 16, 2013\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486382420266,"sku":"9781612906034","price":195.62,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/5RLH9HArs-9781612906034_85340c94-dc33-4f24-af88-2ae0e2f888db.webp?v=1788545022"},{"product_id":"matrix-differential-calculus-3-hardcover-1","title":"Matrix Differential Calculus 3 - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eJan R. Magnus\u003c\/b\u003e (Author), \u003cb\u003eHeinz Neudecker\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eA brand new, fully updated edition of a popular classic on matrix differential calculus with applications in statistics and econometrics\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThis exhaustive, self-contained book on matrix theory and matrix differential calculus provides a treatment of matrix calculus based on differentials and shows how easy it is to use this theory once you have mastered the technique. Jan Magnus, who, along with the late Heinz Neudecker, pioneered the theory, develops it further in this new edition and provides many examples along the way to support it.\u003c\/p\u003e \u003cp\u003eMatrix calculus has become an essential tool for quantitative methods in a large number of applications, ranging from social and behavioral sciences to econometrics. It is still relevant and used today in a wide range of subjects such as the biosciences and psychology. \u003ci\u003eMatrix Differential Calculus with Applications in Statistics and Econometrics, Third Edition \u003c\/i\u003econtains all of the essentials of multivariable calculus with an emphasis on the use of differentials. It starts by presenting a concise, yet thorough overview of matrix algebra, then goes on to develop the theory of differentials. The rest of the text combines the theory and application of matrix differential calculus, providing the practitioner and researcher with both a quick review and a detailed reference.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eFulfills the need for an updated and unified treatment of matrix differential calculus\u003c\/li\u003e \u003cli\u003eContains many new examples and exercises based on questions asked of the author over the years\u003c\/li\u003e \u003cli\u003eCovers new developments in field and features new applications\u003c\/li\u003e \u003cli\u003eWritten by a leading expert and pioneer of the theory\u003c\/li\u003e \u003cli\u003ePart of the Wiley Series in Probability and Statistics \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eMatrix Differential Calculus With Applications in Statistics and Econometrics Third Edition \u003c\/i\u003eis an ideal text for graduate students and academics studying the subject, as well as for postgraduates and specialists working in biosciences and psychology.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eA BRAND NEW, FULLY UPDATED EDITION OF A POPULAR CLASSIC ON MATRIX DIFFERENTIAL CALCULUS WITH APPLICATIONS IN STATISTICS AND ECONOMETRICS\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eThis exhaustive, self-contained book on matrix theory and matrix differential calculus provides a treatment of matrix calculus based on differentials and shows how easy it is to use this theory once you have mastered the technique. Jan Magnus, who, along with the late Heinz Neudecker, pioneered the theory, develops it further in this new edition and provides many examples along the way to support it. \u003c\/p\u003e\u003cp\u003eMatrix calculus has become an essential tool for quantitative methods in a large number of applications, ranging from social and behavioral sciences to econometrics. It is still relevant and used today in a wide range of subjects such as the biosciences and psychology. \u003ci\u003eMatrix Differential Calculus with Applications in Statistics and Econometrics, Third Edition\u003c\/i\u003e contains all of the essentials of multivariable calculus with an emphasis on the use of differentials. It starts by presenting a concise, yet thorough overview of matrix algebra, then goes on to develop the theory of differentials. The rest of the text combines the theory and application of matrix differential calculus, providing the practitioner and researcher with both a quick review and a detailed reference. \u003c\/p\u003e\u003cul\u003e \u003cli\u003eFulfills the need for an updated and unified treatment of matrix differential calculus\u003c\/li\u003e \u003cli\u003eContains many new examples and exercises based on questions asked of the author over the years\u003c\/li\u003e \u003cli\u003eCovers new developments in field and features new applications\u003c\/li\u003e \u003cli\u003eWritten by a leading expert and pioneer of the theory\u003c\/li\u003e \u003cli\u003ePart of the Wiley Series in Probability and Statistics\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eMatrix Differential Calculus With Applications in Statistics and Econometrics, Third Edition\u003c\/i\u003e is an ideal text for graduate students and academics studying the subject, as well as for postgraduates and specialists working in biosciences and psychology.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eJAN R. MAGNUS\u003c\/b\u003e is Emeritus Professor at the Department of Econometrics \u0026amp; Operations Research, Tilburg University, and Extraordinary Professor at the Department of Econometrics \u0026amp; Operations Research, Vrije University, Amsterdam. He is research fellow of CentER and the Tinbergen Institute. He has co-authored nine books and is the author of over 100 scientific papers. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eHEINZ NEUDECKER\u003c\/b\u003e (1933-2017) was Professor of Econometrics at the University of Amsterdam from 1972 until his retirement in 1998.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 504\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.1 x 9.1 x 6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e March 18, 2019\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486382584106,"sku":"9781119541202","price":195.62,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/X3Oeq75XGi9781119541202_a5193a29-a99f-49db-9bc6-82cfab803b09.webp?v=1788545023"},{"product_id":"sas-programming-in-the-pharmaceutical-industry-second-edition-paperback-1","title":"SAS Programming in the Pharmaceutical Industry, Second Edition - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eJack Shostak\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eThis comprehensive resource provides on-the-job training for statistical programmers who use SAS in the pharmaceutical industry This one-stop resource offers a complete review of what entry- to intermediate-level statistical programmers need to know in order to help with the analysis and reporting of clinical trial data in the pharmaceutical industry. SAS Programming in the Pharmaceutical Industry, Second Edition begins with an introduction to the pharmaceutical industry and the work environment of a statistical programmer. Then it gives a chronological explanation of what you need to know to do the job. It includes information on importing and massaging data into analysis data sets, producing clinical trial output, and exporting data. This edition has been updated for SAS 9.4, and it features new graphics as well as all new examples using CDISC SDTM or ADaM model data structures. Whether you're a novice seeking an introduction to SAS programming in the pharmaceutical industry or a junior-level programmer exploring new approaches to problem solving, this real-world reference guide offers a wealth of practical suggestions to help you sharpen your skills. This book is part of the SAS Press program.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eJack Shostak, Associate Director of Statistics, manages a group of statistical programmers at the Duke Clinical Research Institute. A SAS user since 1985, he is the author of SAS Programming in the Pharmaceutical Industry, and coauthor of Common Statistical Methods for Clinical Research with SAS Examples, Third Edition, as well as Implementing CDISC Using SAS: An End-to-End Guide. Shostak has published papers for the Pharmaceutical SAS Users Group (PharmaSUG) and the NorthEast SAS Users Group (NESUG), and he contributed a chapter, \"Reporting and SAS Tool Selection,\" in the book Reporting from the Field. He is active in the Clinical Data Interchange Standards Consortium (CDISC) community, contributing to the development of Analysis Data Model (ADaM), and he serves as an ADaM trainer for CDISC. Shostak received an MBA from James Madison University and a BS in statistics from Virginia Polytechnic Institute and State University.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 308\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.65 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e March 01, 2014\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486383468842,"sku":"9781612906041","price":123.04,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/ql3R6fEILP9781612906041_6604043f-dc6e-48b4-a9e1-ef960756ba6f.webp?v=1788545024"},{"product_id":"advances-in-longitudinal-survey-methodology-hardcover-1","title":"Advances in Longitudinal Survey Methodology - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003ePeter Lynn\u003c\/b\u003e (Editor)\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAdvances in Longitudinal Survey Methodology\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003cb\u003eExplore an up-to-date overview of best practices in the implementation of longitudinal surveys from leading experts in the field of survey methodology\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eAdvances in Longitudinal Survey Methodology\u003c\/i\u003e delivers a thorough review of the most current knowledge in the implementation of longitudinal surveys. The book provides a comprehensive overview of the many advances that have been made in the field of longitudinal survey methodology over the past fifteen years, as well as extending the topic coverage of the earlier volume, \"Methodology of Longitudinal Surveys\", published in 2009. This new edited volume covers subjects like dependent interviewing, interviewer effects, panel conditioning, rotation group bias, measurement of cognition, and weighting.\u003c\/p\u003e\u003cp\u003eNew chapters discussing the recent shift to mixed-mode data collection and obtaining respondents' consent to data linkage add to the book's relevance to students and social scientists seeking to understand modern challenges facing data collectors today. Readers will also benefit from the inclusion of: \u003c\/p\u003e\u003cli\u003eA thorough introduction to refreshment sampling for longitudinal surveys, including consideration of principles, sampling frame, sample design, questionnaire design, and frequency\u003c\/li\u003e\u003cli\u003eAn exploration of the collection of biomarker data in longitudinal surveys, including detailed measurements of ill health, biological pathways, and genetics in longitudinal studies\u003c\/li\u003e\u003cli\u003eAn examination of innovations in participant engagement and tracking in longitudinal surveys, including current practices and new evidence on internet and social media for participant engagement.\u003c\/li\u003e\u003cp\u003eAn invaluable source for post-graduate students, professors, and researchers in the field of survey methodology, \u003ci\u003eAdvances in Longitudinal Survey Methodology\u003c\/i\u003e will also earn a place in the libraries of anyone who regularly works with or conducts longitudinal surveys and requires a one-stop reference for the latest developments and findings in the field.\u003c\/p\u003e\u003ch3\u003eFront Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eExplore an up-to-date overview of best practices in the implementation of longitudinal surveys from leading experts in the field of survey methodology\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eAdvances in Longitudinal Survey Methodology\u003c\/i\u003e delivers a thorough review of the most current knowledge in the implementation of longitudinal surveys. The book provides a comprehensive overview of the many advances that have been made in the field of longitudinal survey methodology over the past fifteen years, as well as extending the topic coverage of the earlier volume, \"Methodology of Longitudinal Surveys\", published in 2009. This new edited volume covers subjects like dependent interviewing, interviewer effects, panel conditioning, rotation group bias, measurement of cognition, and weighting.\u003c\/p\u003e\u003cp\u003eNew chapters discussing the recent shift to mixed-mode data collection and obtaining respondents' consent to data linkage add to the book's relevance to students and social scientists seeking to understand modern challenges facing data collectors today. Readers will also benefit from the inclusion of: \u003c\/p\u003e\u003cli\u003eA thorough introduction to refreshment sampling for longitudinal surveys, including consideration of principles, sampling frame, sample design, questionnaire design, and frequency\u003c\/li\u003e\u003cli\u003eAn exploration of the collection of biomarker data in longitudinal surveys, including detailed measurements of ill health, biological pathways, and genetics in longitudinal studies\u003c\/li\u003e\u003cli\u003eAn examination of innovations in participant engagement and tracking in longitudinal surveys, including current practices and new evidence on internet and social media for participant engagement.\u003c\/li\u003e\u003cp\u003eAn invaluable source for post-graduate students, professors, and researchers in the field of survey methodology, \u003ci\u003eAdvances in Longitudinal Survey Methodology\u003c\/i\u003e will also earn a place in the libraries of anyone who regularly works with or conducts longitudinal surveys and requires a one-stop reference for the latest developments and findings in the field.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePeter Lynn\u003c\/b\u003e is Professor of Survey Methodology and Director of the Institute for Social and Economic Research (ISER), University of Essex. ISER is one of the leading research centres in the world for longitudinal survey methods and Professor Lynn has headed the survey methods programme at ISER since he joined Essex in 2001. Professor Lynn has published more than 60 articles on survey methods topics in top scientific journals, mostly on topics specific to longitudinal surveys, in addition to numerous book chapters, reports and other articles.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 544\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.19 x 9 x 6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 01, 2021\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486383829290,"sku":"9781119376934","price":195.62,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/Nohkhl31wg9781119376934_2f3a101e-99a3-4143-9da7-d03e027e735f.webp?v=1788545024"},{"product_id":"sas-macro-programming-made-easy-third-edition-paperback-1","title":"SAS Macro Programming Made Easy, Third Edition - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eMichele M. Burlew\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eThis book provides beginners with a thorough foundation in SAS macro programming. Updated for SAS 9.4, this book teaches you the elements of the macro facility, how to write a macro program, techniques for macro programming, tips on using the macro facility, how the macro facility fits into SAS, and about the interfaces between the macro facility and other components of SAS. By following Michele Burlew's examples and step-by-step instructions, you'll be able to rapidly perform repetitive programming tasks, to pass information between programming steps more easily, and to make your programming easier to read.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eMichele M. Burlew designs and programs SAS applications for data management, data analysis, report writing, and graphics for academic and corporate clients. A SAS user since 1980, she has expertise in many SAS products and operating systems. Burlew is the author of seven SAS Press books: SAS Hash Object Programming Made Easy; Combining and Modifying SAS Data Sets: Examples, Second Edition; Output Delivery System: The Basics and Beyond (coauthor); SAS Guide to Report Writing: Examples, Second Edition; SAS Macro Programming Made Easy, Third Edition; Debugging SAS Programs: A Handbook of Tools and Techniques; and Reading External Data Files Using SAS: Examples Handbook.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 386\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.8 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 01, 2014\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486384386346,"sku":"9781612906935","price":132.72,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/Qsp7rkYoK_9781612906935_49b37a08-ba71-45bd-ab3d-9bf05d492a40.webp?v=1788545024"},{"product_id":"bayes-factors-for-forensic-decision-analyses-with-r-hardcover-1","title":"Bayes Factors for Forensic Decision Analyses with R - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eSilvia Bozza\u003c\/b\u003e (Author), \u003cb\u003eFranco Taroni\u003c\/b\u003e (Author), \u003cb\u003eAlex Biedermann\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eBayes Factors for Forensic Decision Analyses with R\u003c\/i\u003e provides a self-contained introduction to computational Bayesian statistics using R. With its primary focus on Bayes factors supported by data sets, this book features an operational perspective, practical relevance, and applicability--keeping theoretical and philosophical justifications limited. It offers a balanced approach to three naturally interrelated topics: \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\u003cli\u003eProbabilistic Inference - Relies on the core concept of Bayesian inferential statistics, to help practicing forensic scientists in the logical and balanced evaluation of the weight of evidence.\u003c\/li\u003e\u003c\/ul\u003e\u003cul\u003e\u003cli\u003eDecision Making - Features how Bayes factors are interpreted in practical applications to help address questions of decision analysis involving the use of forensic science in the law.\u003c\/li\u003e\u003c\/ul\u003e\u003cul\u003e\u003cli\u003eOperational Relevance - Combines inference and decision, backed up with practical examples and complete sample code in R, including sensitivity analyses and discussion on how to interpret results in context.\u003c\/li\u003e\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eOver the past decades, probabilistic methods have established a firm position as a reference approach for the management of uncertainty in virtually all areas of science, including forensic science, with Bayes' theorem providing the fundamental logical tenet for assessing how new information--scientific evidence--ought to be weighed. Central to this approach is the Bayes factor, which clarifies the evidential meaning of new information, by providing a measure of the change in the odds in favor of a proposition of interest, when going from the prior to the posterior distribution. Bayes factors should guide the scientist's thinking about the value of scientific evidence and form the basis of logical and balanced reporting practices, thus representing essential foundations for rational decision making under uncertainty.\u003c\/p\u003e\u003cp\u003eThis book would be relevant to students, practitioners, and applied statisticiansinterested in inference and decision analyses in the critical field of forensic science. It could be used to support practical courses on Bayesian statistics and decision theory at both undergraduate and graduate levels, and will be of equal interest to forensic scientists and practitioners of Bayesian statistics for driving their evaluations and the use of R for their purposes.\u003c\/p\u003e\u003cp\u003eThis book is Open Access.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eBayes Factors for Forensic Decision Analyses with R provides a self-contained introduction to computational Bayesian statistics using R. With its primary focus on Bayes factors supported by data sets, this book features an operational perspective, practical relevance, and applicability--keeping theoretical and philosophical justifications limited. It offers a balanced approach to three naturally interrelated topics: \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\u003cli\u003eProbabilistic Inference - Relies on the core concept of Bayesian inferential statistics, to help practicing forensic scientists in the logical and balanced evaluation of the weight of evidence.\u003c\/li\u003e\u003c\/ul\u003e\u003cul\u003e\u003cli\u003eDecision Making - Features how Bayes factors are interpreted in practical applications to help address questions of decision analysis involving the use of forensic science in the law.\u003c\/li\u003e\u003c\/ul\u003e\u003cul\u003e\u003cli\u003eOperational Relevance - Combines inference and decision, backed up with practical examples and complete sample code in R, including sensitivity analyses and discussion on how to interpret results in context.\u003c\/li\u003e\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eOver the past decades, probabilistic methods have established a firm position as a reference approach for the management of uncertainty in virtually all areas of science, including forensic science, with Bayes' theorem providing the fundamental logical tenet for assessing how new information--scientific evidence--ought to be weighed. Central to this approach is the Bayes factor, which clarifies the evidential meaning of new information, by providing a measure of the change in the odds in favor of a proposition of interest, when going from the prior to the posterior distribution. Bayes factors should guide the scientist's thinking about the value of scientific evidence and form the basis of logical and balanced reporting practices, thus representing essential foundations for rational decision making under uncertainty.\u003c\/p\u003e\u003cp\u003eThis book would be relevant to students, practitioners, and applied statisticians interested in inference and decision analyses in the critical field of forensic science. It could be used to support practical courses on Bayesian statistics and decision theory at both undergraduate and graduate levels, and will be of equal interest to forensic scientists and practitioners of Bayesian statistics for driving their evaluations and the use of R for their purposes.\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis book is Open Access.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eSilvia Bozza\u003c\/b\u003e is Associate Professor of Statistics at Ca' Foscari University of Venice (Italy), Department of Economics and Senior Researcher at the University of Lausanne (School of Criminal Justice). Her research interests are mainly focused on Bayesian modelling, decision theory and probabilistic graphical models with applications in forensic science. \u003cb\u003e\u003cbr\u003e\u003c\/b\u003e\u003cb\u003eFranco Taroni\u003c\/b\u003e is Full Professor of Forensic Statistics at the Faculty of Law, Criminal Justice and Public Administration, School of Criminal Justice, of the University of Lausanne (Switzerland). He publishes extensively in the area of probabilistic reasoning, decision making and data analysis in forensic science.\u003cbr\u003e\u003cb\u003eAlex Biedermann\u003c\/b\u003e is Associate Professor at the Faculty of Law, Criminal Justice and Public Administration, School of Criminal Justice, of the University of Lausanne (Switzerland). He researches and teaches in the area of evidential reasoningand decision making at the intersection between forensic science and the law. His work is multidisciplinary and pertains to forensic science, law and topics in probability and decision theory.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 187\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.5 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 01, 2022\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486385336618,"sku":"9783031098383","price":115.84,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/3u6EXgF8lD9783031098383_2d7e0889-29ad-47a0-a759-8e20e113e9bc.webp?v=1788545025"},{"product_id":"a-first-course-in-bayesian-statistical-methods-paperback-1","title":"A First Course in Bayesian Statistical Methods - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003ePeter D. Hoff\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003col\u003e \u003cli\u003e \u003cp\u003eA self-contained introduction to probability, exchangeability and Bayes' rule provides a theoretical understanding of the applied material. \u003c\/p\u003e\n\u003c\/li\u003e \u003cli\u003e \u003cp\u003eNumerous examples with R-code that can be run \"as-is\" allow the reader to perform the data analyses themselves. \u003c\/p\u003e\n\u003c\/li\u003e \u003cli\u003e \u003cp\u003eThe development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book provides a compact self-contained introduction to the theory and application of Bayesian statistical methods. The book is accessible to readers having a basic familiarity with probability, yet allows more advanced readers to quickly grasp the principles underlying Bayesian theory and methods. The examples and computer code allow the reader to understand and implement basic Bayesian data analyses using standard statistical models and to extend the standard models to specialized data analysis situations. The book begins with fundamental notions such as probability, exchangeability and Bayes' rule, and ends with modern topics such as variable selection in regression, generalized linear mixed effects models, and semiparametric copula estimation. Numerous examples from the social, biological and physical sciences show how to implement these methodologies in practice.\u003c\/p\u003e \u003cp\u003eMonte Carlo summaries of posterior distributions play an important role in Bayesian data analysis. The open-source R statistical computing environment provides sufficient functionality to make Monte Carlo estimation very easy for a large number of statistical models and example R-code is provided throughout the text. Much of the example code can be run ``as is'' in R, and essentially all of it can be run after downloading the relevant datasets from the companion website for this book.\u003c\/p\u003e \u003cp\u003ePeter Hoff is an Associate Professor of Statistics and Biostatistics at the University of Washington. He has developed a variety of Bayesian methods for multivariate data, including covariance and copula estimation, cluster analysis, mixture modeling and social network analysis. He is on the editorial board of the \u003cem\u003eAnnals of Applied Statistics\u003c\/em\u003e.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 271\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.6 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 19, 2010\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486385467690,"sku":"9781441928283","price":133.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/4Uwwv6eXtO9781441928283_41a54067-e192-49b2-b746-b7957ad7be59.webp?v=1788545026"},{"product_id":"design-and-analysis-of-experiments-by-douglas-montgomery-a-supplement-for-using-jmp-paperback-1","title":"Design and Analysis of Experiments by Douglas Montgomery: A Supplement for Using JMP - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eHeath Rushing\u003c\/b\u003e (Author), \u003cb\u003eAndrew Karl\u003c\/b\u003e (Author), \u003cb\u003eJames Wisnowski\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eWith a growing number of scientists and engineers using JMP software for design of experiments, there is a need for an example-driven book that supports the most widely used textbook on the subject, Design and Analysis of Experiments by Douglas C. Montgomery. Design and Analysis of Experiments by Douglas Montgomery: A Supplement for Using JMP meets this need and demonstrates all of the examples from the Montgomery text using JMP. In addition to scientists and engineers, undergraduate and graduate students will benefit greatly from this book. While users need to learn the theory, they also need to learn how to implement this theory efficiently on their academic projects and industry problems. In this first book of its kind using JMP software, Rushing, Karl and Wisnowski demonstrate how to design and analyze experiments for improving the quality, efficiency, and performance of working systems using JMP. Topics include JMP software, two-sample t-test, ANOVA, regression, design of experiments, blocking, factorial designs, fractional-factorial designs, central composite designs, Box-Behnken designs, split-plot designs, optimal designs, mixture designs, and 2 k factorial designs. JMP platforms used include Custom Design, Screening Design, Response Surface Design, Mixture Design, Distribution, Fit Y by X, Matched Pairs, Fit Model, and Profiler. With JMP software, Montgomery's textbook, and Design and Analysis of Experiments by Douglas Montgomery: A Supplement for Using JMP, users will be able to fit the design to the problem, instead of fitting the problem to the design. This book is part of the SAS Press program. With a growing number of scientists and engineers using JMP software for design of experiments, there is a need for an example-driven book that supports the most widely used textbook on the subject, Design and Analysis of Experiments by Douglas C. Montgomery. Design and Analysis of Experiments by Douglas Montgomery: A Supplement for Using JMP meets this need and demonstrates all of the examples from the Montgomery text using JMP. In addition to scientists and engineers, undergraduate and graduate students will benefit greatly from this book. While users need to learn the theory, they also need to learn how to implement this theory efficiently on their academic projects and industry problems. In this first book of its kind using JMP software, Rushing, Karl and Wisnowski demonstrate how to design and analyze experiments for improving the quality, efficiency, and performance of working systems using JMP. Topics include JMP software, two-sample t-test, ANOVA, regression, design of experiments, blocking, factorial designs, fractional-factorial designs, central composite designs, Box-Behnken designs, split-plot designs, optimal designs, mixture designs, and 2 k factorial designs. JMP platforms used include Custom Design, Screening Design, Response Surface Design, Mixture Design, Distribution, Fit Y by X, Matched Pairs, Fit Model, and Profiler. With JMP software, Montgomery's textbook, and Design and Analysis of Experiments by Douglas Montgomery: A Supplement for Using JMP, users will be able to fit the design to the problem, instead of fitting the problem to the design. This book is part of the SAS Press program.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 340\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.63 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 12, 2014\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486385369386,"sku":"9781612907253","price":111.75,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/QoP_36p9Qt9781612907253_a87cfe20-4e31-42e8-a6e5-94f34acc1306.webp?v=1788545025"},{"product_id":"approximate-distributions-of-order-statistics-with-applications-to-nonparametric-statistics-paperback-1","title":"Approximate Distributions of Order Statistics: With Applications to Nonparametric Statistics - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eRolf-Dieter Reiss\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eThis book is designed as a unified and mathematically rigorous treatment of some recent developments of the asymptotic distribution theory of order statistics (including the extreme order statistics) that are relevant for statistical theory and its applications. Particular emphasis is placed on results concern- ing the accuracy oflimit theorems, on higher order approximations, and other approximations in quite a general sense. Contrary to the classical limit theorems that primarily concern the weak convergence of distribution functions, our main results will be formulated in terms of the variational and the Hellinger distance. These results will form the proper springboard for the investigation of parametric approximations of nonparametric models of joint distributions of order statistics. The approxi- mating models include normal as well as extreme value models. Several applications will show the usefulness of this approach. 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Today's businesses increasingly use data to drive decisions that keep them competitive. Many data analysts, although talented with respect to business and statistics, lack the know-how to perform business analytics with advanced statistical software. Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner is a beginner's guide with clear, illustrated, step-by-step instructions that will lead you through examples based on business case studies. You will formulate the business objective, manage the data, and perform analyses that you can use to optimize marketing, risk, and customer relationship management, as well as business processes and human resources.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eOlivia Parr-Rud, an internationally recognized expert in predictive analytics, business intelligence, and innovative leadership, founded the SAS Data Mining Users Group, having been a SAS user since 1991 and a SAS instructor and conference presenter for many years. She hosts the popular VoiceAmerica Business radio show Quantum Business Insights (www.quantumbusinessinsights.com) and is a thought leader in the integration of analytic tools and leadership practices to optimize performance and organizational agility. Her predictive analytics research founded her first book, Data Mining Cookbook: Modeling for Marketing, Risk and Customer Relationship Management (Wiley 2000), which unveiled links between the global economy and organizational dynamics, a topic featured in her second book, Business Intelligence Success Factors: Tools for Aligning Your Business in a Global Economy (Wiley and SAS Institute Inc. 2009). Her current research will develop a model that tracks the alignment of business intelligence with human intelligence. Parr-Rud holds a B.A. in mathematics and an M.S. in statistics. In addition to public speaking, she offers training and consulting in both predictive analytics and business leadership, with clients that include numerous Fortune 500 companies. For more, visit www.oliviagroup.com.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 182\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.39 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e October 29, 2014\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486386221354,"sku":"9781612907833","price":90.79,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/8pQqhHYK6m9781612907833_e120371c-5162-491f-a2b8-da070a3ba93b.webp?v=1788545027"},{"product_id":"statistics-workbook-for-dummies-with-online-practice-paperback-1","title":"Statistics Workbook for Dummies with Online Practice - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eDeborah J. Rumsey\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePractice your way to a higher statistics score\u003c\/b\u003e\u003ci\u003e \u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eThe adage that \"practice makes perfect\" is never truer than with math problems. S\u003ci\u003etatistics Workbook For Dummies with Online Practice\u003c\/i\u003e provides succinct content reviews for every topic, with plenty of examples and practice problems for each concept, in the book and online. \u003c\/p\u003e \u003cp\u003eEvery lesson begins with a concept review, followed by a few example problems and plenty of practice problems. There's a step-by-step solution for every problem, with tips and tricks to help with comprehension and retention. New for this edition, free online practice quizzes for each chapter provide extra opportunities to test your knowledge and understanding. \u003c\/p\u003e \u003cul\u003e \u003cli\u003eGet FREE access to chapter quizzes in an online test bank\u003c\/li\u003e \u003cli\u003eWork along with each chapter or use the test bank for final exam review\u003c\/li\u003e \u003cli\u003eDiscover which statistical measures are most meaningful\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eScoring high in your Statistics class has never been easier! \u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e \u003cli\u003eFind FREE quizzes for every chapter online\u003c\/li\u003e \u003cli\u003eSlay statistics with hundreds of practice problems\u003c\/li\u003e \u003cli\u003eReview key concepts\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cb\u003eDiscover what your professor is looking for\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003ePractice makes perfect, especially with statistics, and this workbook gives you piles of practice problems. More than that, it offers examples, step-by-step solutions, and tips to help you understand what your statistics professor is looking for in your answers. With free online practice quizzes to help you master the concepts, you got this! \u003c\/p\u003e\u003cp\u003e\u003cb\u003eInside...\u003c\/b\u003e \u003c\/p\u003e\u003cul\u003e \u003cli\u003eGrasp basic probability\u003c\/li\u003e \u003cli\u003eImprove problem-solving skills\u003c\/li\u003e \u003cli\u003eMaster statistical formulas\u003c\/li\u003e \u003cli\u003eLearn data analysis techniques\u003c\/li\u003e \u003cli\u003eWork hundreds of practice problems\u003c\/li\u003e \u003cli\u003eFind clear explanations and full, step-by-step solutions\u003c\/li\u003e \u003cli\u003eTest your statistics knowledge\u003c\/li\u003e \u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDeborah J. Rumsey, PhD\u003c\/b\u003e is a longtime statistics professor at The Ohio State University specializing in statistics education. She authored \u003ci\u003eStatistics For Dummies, Statistics II For Dummies, \u003c\/i\u003e and \u003ci\u003eProbability For Dummies.\u003c\/i\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 336\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.7 x 9.9 x 8 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e April 23, 2019\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486386549034,"sku":"9781119547518","price":24.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/JlDfCTe_oP9781119547518_fd9f5d91-73e7-4324-9fe1-f80a426fd20c.webp?v=1788545027"},{"product_id":"jordan-canonical-form-theory-and-practice-paperback-1","title":"Jordan Canonical Form: Theory and Practice - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eSteven H. 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Then A is similar to a matrix J in Jordan Canonical Form, i.e., there is an invertible matrix P and a matrix J in Jordan Canonical Form with A = PJP-1. We further present an algorithm to find P and J, assuming that one can factor the characteristic polynomial of A. In developing this algorithm we introduce the eigenstructure picture (ESP) of a matrix, a pictorial representation that makes JCF clear. The ESP of A determines J, and a refinement, the labeled eigenstructure picture (ℓESP) of A, determines P as well. We illustrate this algorithm with copious examples, and provide numerous exercises for the reader. 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Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.\u003c\/p\u003e\u003cp\u003eScholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 252\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.53 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e October 27, 2022\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486386843946,"sku":"9781019076071","price":44.02,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/wG5Nnhx6y29781019076071_d54de5cc-5ee2-43c3-80a3-aad31a478917.webp?v=1788545027"},{"product_id":"risk-based-monitoring-and-fraud-detection-in-clinical-trials-using-jmp-and-sas-paperback-1","title":"Risk-Based Monitoring and Fraud Detection in Clinical Trials Using JMP and SAS - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eRichard C. Zink\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eInternational guidelines recommend that clinical trial data should be actively reviewed or monitored; the well-being of trial participants and the validity and integrity of the final analysis results are at stake. Risk-based monitoring (RBM) makes use of central computerized review of clinical trial data and site metrics to determine if and when clinical sites should receive more extensive quality review or intervention. Risk-Based Monitoring and Fraud Detection in Clinical Trials Using JMP and SAS describes analyses for RBM that incorporate and extend the recommendations of TransCelerate Biopharm Inc., methods to detect potential patient-or investigator misconduct, snapshot comparisons to more easily identify new or modified data, and other novel visual and analytical techniques to enhance safety and quality reviews. The analytical methods described enable the clinical trial team to take a proactive approach to data quality and safety to streamline clinical development activities and address shortcomings while the study is ongoing.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eRichard C. Zink is a Principal Research Statistician Developer in the JMP Life Sciences division at SAS Institute. He is a developer for JMP Clinical, an innovative software package designed to streamline the review of clinical trial data. He joined SAS in 2011 after eight years in the pharmaceutical industry, where he designed and analyzed clinical trials for patients diagnosed with chronic hepatitis B infection, chronic myeloid leukemia, glaucoma, dry eye disease, blepharitis, or cystic fibrosis; he also participated in US and European drug submissions and in two FDA advisory committee hearings. When not actively engaged in clinical development responsibilities, he supported non-clinical development, pharmaceutical sciences, and sales and marketing activities. Richard is a member of the Biopharmaceutical Section of the American Statistical Association, the Drug Information Association, and Statisticians in the Pharmaceutical Industry. He is currently the Statistics Section Editor for Therapeutic Innovation \u0026amp; Regulatory Science (formerly Drug Information Journal). His research interests include the analysis of pre- and post-market adverse events, subgroup identification for patients with enhanced treatment response, and risk-based monitoring and fraud detection in clinical trials. Richard holds a Ph.D. in Biostatistics from the University of North Carolina at Chapel Hill and has more than 20 years of SAS programming experience. This is his first book.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 268\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.56 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 01, 2014\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486387073322,"sku":"9781612909912","price":102.08,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/iIe6E_fr9781612909912_5f66a6d6-fd8a-423c-86b9-a1a25574b74f.webp?v=1788545027"},{"product_id":"stochastic-calculus-and-financial-applications-paperback-1","title":"Stochastic Calculus and Financial Applications - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eJ. Michael Steele\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eStochastic calculus has important applications to mathematical finance. This book will appeal to practitioners and graduate students who want an elementary introduction to these areas.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 302\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.65 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e December 01, 2010\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486387532074,"sku":"9781441928627","price":170.27,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/ikYKvoFL889781441928627_0fc7e86d-9355-42cb-9f24-ea1903a52f31.webp?v=1788545028"},{"product_id":"statistics-for-terrified-biologists-paperback-1","title":"Statistics for Terrified Biologists - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eHelmut F. Van Emden\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eMakes mathematical and statistical analysis understandable to even the least math-minded biology student\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThis unique textbook aims to demystify statistical formulae for the average biology student. Written in a lively and engaging style, \u003ci\u003eStatistics for Terrified Biologists, 2\u003csup\u003end\u003c\/sup\u003e Edition\u003c\/i\u003e draws on the author's 30 years of lecturing experience to teach statistical methods to even the most guarded of biology students. It presents basic methods using straightforward, jargon-free language. Students are taught to use simple formulae and how to interpret what is being measured with each test and statistic, while at the same time learning to recognize overall patterns and guiding principles. Complemented by simple examples and useful case studies, this is an ideal statistics resource tool for undergraduate biology and environmental science students who lack confidence in their mathematical abilities. \u003c\/p\u003e \u003cp\u003e\u003ci\u003eStatistics for Terrified Biologists\u003c\/i\u003e presents readers with the basic foundations of parametric statistics, the t-test, analysis of variance, linear regression and chi-square, and guides them to important extensions of these techniques. It introduces them to non-parametric tests, and includes a checklist of non-parametric methods linked to their parametric counterparts. The book also provides many end-of-chapter summaries and additional exercises to help readers understand and practice what they've learned.\u003c\/p\u003e \u003cul\u003e \u003cli\u003ePresented in a clear and easy-to-understand style\u003c\/li\u003e \u003cli\u003eMakes statistics tangible and enjoyable for even the most hesitant student\u003c\/li\u003e \u003cli\u003eFeatures multiple formulas to facilitate comprehension\u003c\/li\u003e \u003cli\u003eWritten by of the foremost entomologists of his generation\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThis second edition of \u003ci\u003eStatistics for Terrified Biologists\u003c\/i\u003e is an invaluable guide that will be of great benefit to pre-health and biology undergraduate students.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eMakes mathematical and statistical analysis understandable to even the least math-minded biology student\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eThis unique textbook aims to demystify statistical formulae for the average biology student. Written in a lively and engaging style, \u003ci\u003eStatistics for Terrified Biologists, \u003c\/i\u003e Second Edition draws on the author's 30 years of lecturing experience to teach statistical methods to even the most guarded of biology students. It presents basic methods using straightforward, jargon-free language. Students are taught to use simple formulae and how to interpret what is being measured with each test and statistic, while at the same time learning to recognize overall patterns and guiding principles. Complemented by simple examples and useful case studies, this is an ideal statistics resource tool for undergraduate biology and environmental science students who lack confidence in their mathematical abilities. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eStatistics for Terrified Biologists\u003c\/i\u003e presents readers with the basic foundations of parametric statistics, the \u003ci\u003et\u003c\/i\u003e-test, analysis of variance, linear regression and chi-square, and guides them to important extensions of these techniques. It introduces them to non-parametric tests, and includes a checklist of non-parametric methods linked to their parametric counterparts. The book also provides many end-of-chapter summaries and additional exercises to help readers understand and practice what they've learned. \u003c\/p\u003e\u003cul\u003e \u003cli\u003ePresented in a clear and easy-to-understand style\u003c\/li\u003e \u003cli\u003eMakes statistics tangible and enjoyable for even the most hesitant student\u003c\/li\u003e \u003cli\u003eFeatures multiple formulas to facilitate comprehension\u003c\/li\u003e \u003cli\u003eWritten by the foremost entomologists of his generation\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThis second edition of \u003ci\u003eStatistics for Terrified Biologists\u003c\/i\u003e is an invaluable guide that will be of great benefit to pre-health and biology undergraduate students.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eHELMUT F. VAN EMDEN, PhD, \u003c\/b\u003e is an internationally respected entomologist who in the UK has been President of both the Royal Entomological Society and the Association of Applied Biologists. He is currently Emeritus Professor of Horticulture in the School of Agriculture, Policy and Development at the University of Reading, UK, where for 35 years he has taught entomology at Masters level to international students of Crop Protection. He has taught and carried out research on applied entomology in six continents.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 432\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.9 x 9 x 6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 19, 2019\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486387794218,"sku":"9781119563679","price":93.59,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/GJ-K98uIc99781119563679_2b6e3f92-6e59-4d21-a068-0239e43d8698.webp?v=1788545028"},{"product_id":"introduction-to-time-series-modeling-with-applications-in-r-paperback-1","title":"Introduction to Time Series Modeling with Applications in R - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eGenshiro Kitagawa\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePraise for the first edition: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e[This book] reflects the extensive experience and significant contributions of the author to non-linear and non-Gaussian modeling. ... [It] is a valuable book, especially with its broad and accessible introduction of models in the state-space framework. \u003c\/p\u003e\u003cp\u003e-\u003cem\u003eStatistics in Medicine\u003c\/em\u003e\u003c\/p\u003e\u003cp\u003e\u003cem\u003eWhat distinguishes this book from comparable introductory texts is the use of state-space modeling. Along with this come a number of valuable tools for recursive filtering and smoothing, including the Kalman filter, as well as non-Gaussian and sequential Monte Carlo filters.\u003c\/em\u003e\u003c\/p\u003e\u003cp\u003e-\u003ci\u003eMAA Reviews\u003c\/i\u003e\u003c\/p\u003e\u003cp\u003eIntroduction to Time Series Modeling with Applications in R, Second Edition covers numerous stationary and nonstationary time series models and tools for estimating and utilizing them. The goal of this book is to enable readers to build their own models to understand, predict and master time series. The second edition makes it possible for readers to reproduce examples in this book by using the freely available R package \u003ci\u003eTSSS\u003c\/i\u003e to perform computations for their own real-world time series problems.\u003c\/p\u003e\u003cp\u003eThis book employs the state-space model as a generic tool for time series modeling and presents the Kalman filter, the non-Gaussian filter and the particle filter as convenient tools for recursive estimation for state-space models. Further, it also takes a unified approach based on the entropy maximization principle and employs various methods of parameter estimation and model selection, including the least squares method, the maximum likelihood method, recursive estimation for state-space models and model selection by AIC.\u003c\/p\u003e\u003cp\u003eAlong with the standard stationary time series models, such as the AR and ARMA models, the book also introduces nonstationary time series models such as the locally stationary AR model, the trend model, the seasonal adjustment model, the time-varying coefficient AR model and nonlinear non-Gaussian state-space models.\u003c\/p\u003e\u003cp\u003eAbout the Author: \u003c\/p\u003e\u003cp\u003eGenshiro Kitagawa is a project professor at the University of Tokyo, the former Director-General of the Institute of Statistical Mathematics, and the former President of the Research Organization of Information and Systems.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGenshiro Kitagawa\u003c\/strong\u003e is a project professor at the University of Tokyo, the former Director-General of the Institute of Statistical Mathematics, and the former President of the Research Organization of Information and Systems\u003cem\u003e.\u003c\/em\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 340\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.71 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 01, 2022\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486388089130,"sku":"9780367494247","price":135.8,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/mM4_5E4dDt9780367494247_57768b6f-77c2-47bf-9ae1-4cae0c96dfd2.webp?v=1788545028"},{"product_id":"logistic-regression-models-paperback-1","title":"Logistic Regression Models - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eJoseph M. Hilbe\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eLogistic Regression Models\u003c\/strong\u003e presents an overview of the full range of logistic models, including binary, proportional, ordered, partially ordered, and unordered categorical response regression procedures. Other topics discussed include panel, survey, skewed, penalized, and exact logistic models. The text illustrates how to apply the various models to health, environmental, physical, and social science data.\u003c\/p\u003e\u003cp\u003e\u003cem\u003eExamples illustrate successful modeling\u003c\/em\u003e\u003cbr\u003eThe text first provides basic terminology and concepts, before explaining the foremost methods of estimation (maximum likelihood and IRLS) appropriate for logistic models. It then presents an in-depth discussion of related terminology and examines logistic regression model development and interpretation of the results. After focusing on the construction and interpretation of various interactions, the author evaluates assumptions and goodness-of-fit tests that can be used for model assessment. He also covers binomial logistic regression, varieties of overdispersion, and a number of extensions to the basic binary and binomial logistic model. Both real and simulated data are used to explain and test the concepts involved. The appendices give an overview of marginal effects and discrete change as well as a 30-page tutorial on using Stata commands related to the examples used in the text. Stata is used for most examples while R is provided at the end of the chapters to replicate examples in the text.\u003c\/p\u003e\u003cp\u003e\u003cem\u003eApply the models to your own data\u003c\/em\u003e\u003cbr\u003eData files for examples and questions used in the text as well as code for user-authored commands are provided on the book's website, formatted in Stata, R, Excel, SAS, SPSS, and Limdep. \u003c\/p\u003e\u003cp\u003eSee Professor Hilbe discuss the book.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 656\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.32 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e May 25, 2017\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486388908330,"sku":"9781138106710","price":161.2,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/68c2E9HRCO9781138106710_c7c368a0-7539-4bb0-87c1-46016a2cc92c.webp?v=1788545029"},{"product_id":"probability-paperback-1","title":"Probability - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eLawrence M. Leemis\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis calculus-based introduction to probability covers all of the traditional topics, along with a secondary emphasis on Monte Carlo simulation. Examples that introduce applications from a wide range of fields help the reader apply probability theory to real-world problems. The text covers all of the topics associated with Exam P given by the Society of Actuaries. Over 100 figures highlight the intuitive and geometric aspects of probability. Over 800 exercises are used to reinforce concepts and make this text appropriate for classroom use.\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 566\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.15 x 10 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e October 06, 2017\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486389039402,"sku":"9780982917473","price":107.8,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/Ku6RRRgQxU9780982917473_dbe1cfba-a972-49e5-91ee-167d37bd4859.webp?v=1788545029"},{"product_id":"statistics-and-analysis-of-scientific-data-hardcover-1","title":"Statistics and Analysis of Scientific Data - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eMassimiliano Bonamente\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book is the third edition of a successful textbook for upper-undergraduate and early graduate students, which offers a solid foundation in probability theory and statistics and their application to physical sciences, engineering, biomedical sciences and related disciplines. It provides broad coverage ranging from conventional textbook content of probability theory, random variables, and their statistics, regression, and parameter estimation, to modern methods including Monte-Carlo Markov chains, resampling methods and low-count statistics.\u003c\/p\u003e \u003cp\u003eIn addition to minor corrections and adjusting structure of the content, particular features in this new edition include: \u003c\/p\u003e \u003cul\u003e \u003cli\u003ePython codes and machine-readable data for all examples, classic experiments, and exercises, which are now more accessible to students and instructors\u003c\/li\u003e \u003cli\u003eNew chapters on low-count statistics including the Poisson-based Cash statistic for regression in the low-count regime, and on contingency tables and diagnostic testing.\u003c\/li\u003e \u003cli\u003eAn additional example of classic experiments based on testing data for SARS-COV-2 to demonstrate practical applications of the described statistical methods.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThis edition inherits the main pedagogical method of earlier versions-a theory-then-application approach-where emphasis is placed first on a sound understanding of the underlying theory of a topic, which becomes the basis for an efficient and practical application of the materials. Basic calculus is used in some of the derivations, and no previous background in probability and statistics is required. The book includes many numerical tables of data as well as exercises and examples to aid the readers' understanding of the topic.\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book is the third edition of a successful textbook for upper-undergraduate and early graduate students, which offers a solid foundation in probability theory and statistics and their application to physical sciences, engineering, biomedical sciences and related disciplines. It provides broad coverage ranging from conventional textbook content of probability theory, random variables, and their statistics, regression, and parameter estimation, to modern methods including Monte-Carlo Markov chains, resampling methods and low-count statistics.\u003c\/p\u003e \u003cp\u003eIn addition to minor corrections and adjusting structure of the content, particular features in this new edition include: \u003c\/p\u003e \u003cul\u003e \u003cli\u003ePython codes and machine-readable data for all examples, classic experiments, and exercises, which are now more accessible to students and instructors\u003c\/li\u003e \u003cli\u003eNew chapters on low-count statistics including the Poisson-based Cash statistic for regression in the low-count regime, and on contingency tables and diagnostic testing.\u003c\/li\u003e \u003cli\u003eAn additional example of classic experiments based on testing data for SARS-COV-2 to demonstrate practical applications of the described statistical methods.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThis edition inherits the main pedagogical method of earlier versions--a theory-then-application approach--where emphasis is placed first on a sound understanding of the underlying theory of a topic, which becomes the basis for an efficient and practical application of the materials. Basic calculus is used in some of the derivations, and no previous background in probability and statistics is required. The book includes many numerical tables of data as well as exercises and examples to aid the readers' understanding of the topic.\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eMassimiliano Bonamente is a professor of physics and astronomy at the University of Alabama in Huntsville (UAH), USA. He received his laurea degree cum laude in electrical engineering from the Universita' di Perugia, Italy in 1996, and a Ph.D. degree in physics from UAH in 2000. After postdoctoral work at the Osservatorio Astrofisico di Catania, Italy, and the NASA Marshall Space Flight Center, NASA, and as an assistant research professor at UAH, he began a tenure-track appointment at UAH as an assistant professor in 2007, and has been a full professor of physics and astronomy since 2014. He was selected as an outstanding faculty member in the College of Science at UAH in 2011, where he has taught a variety of courses for undergraduate and graduate students in the areas of general physics, mathematics and statistics, thermodynamics, and astrophysics. His research interests are primarily in high-energy astrophysics, cosmology and applied statistics, and he has published over 80refereed journal articles. \u003c\/p\u003e \u003cp\u003e\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 488\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.13 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 13, 2022\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486389334314,"sku":"9789811903649","price":188.42,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/G9s8ha2DB-9789811903649_b645d873-4d44-453f-be8f-989c25ae84f9.webp?v=1788545029"},{"product_id":"practice-combinatorics-and-probability-level-3-ages-11-14-paperback-1","title":"Practice Combinatorics and Probability: Level 3 (ages 11-14) - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eSilviu Borac\u003c\/b\u003e (Author), \u003cb\u003eCleo Borac\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout \"Competitive Mathematics for Gifted Students\"\u003c\/b\u003e This series provides practice materials and short theory reminders for students who aim to excel at problem solving. Material is introduced in a structured manner: each new concept is followed by a problem set that explores the content in detail. Each book ends with a problem set that reviews both concepts presented in the current volume and related topics from previous volumes. The series forms a learning continuum that explores strategies specific to competitive mathematics in depth and breadth. Full solutions explain both reasoning and execution. Often, several solutions are contrasted. The problem selection emphasizes comprehension, critical thinking, observation, and avoiding repetitive and mechanical procedures. Ready to participate in a math competition such as AMC-8, AMC-10, Math Kangaroo in USA, Math Leagues, USAMTS, or AIME? This series will open the doors to consistent performance. \u003c\/p\u003e \u003cp\u003e\u003cb\u003eAbout Level 3\u003c\/b\u003e This level of the series is designed for students who can solve linear equations, are fluent with fractions, and can factor into primes. The problem sets are designed to strengthen specific areas where we know students have difficulty on AMC-8 and AMC-10. The level 3 books are a strong preparation for AMC-8 and a partial preparation for AMC-10 and AIME. Level 3 consists of: Word Problems (volume 9), Arithmetic and Number Theory (volume 10), Operations and Algebra (volume 11), Geometry (volume 12), and Combinatorics (volume 13). On the contest list for this level: MATHCOUNTS, Math Kangaroo levels 5-6 and 7-8, MOEMS-M, Purple Comet, AMC-8, AMC-10. Their complexity makes these problem sets useful for preparing the AIME in the long run.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAbout Volume 13 - Combinatorics and Probability\u003c\/b\u003e This workbook presents a variety of problems that explore the most basic discrete counting techniques: permutations and combinations. The topics included are competition specific.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 138\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.3 x 11 x 8.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e February 09, 2016\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486389399850,"sku":"9780692639160","price":32.24,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/ADMBAvteox9780692639160_031706e9-e320-49df-9d43-f68a6871d62c.webp?v=1788545030"},{"product_id":"a-winning-bet-in-nevada-baccarat-paperback-1","title":"A Winning Bet in Nevada Baccarat - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eEdward O. Thorp\u003c\/b\u003e (Author), \u003cb\u003eWilliam Walden\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e2015 Reprint of 1963 Edition. Full Facsimile of the original edition. Not reproduced with Optical Recognition Software. Co-written by the author of the \"Beat the Dealer\", this work provides a mathematically based model intended to improve the chances of winning not only in Baccarat, but in black jack and other games of chance. Language is quite technical, but parts are accessible to the average player and the theory informs all of Thorp's and Walden's more popular work. A scarce scholarly treatise on probability and its application to games of chance.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 82\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.17 x 9.69 x 7.44 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 17, 2015\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486390022442,"sku":"9781614278474","price":26.66,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/MVYCQoWBYp9781614278474_20ede394-2bce-4534-b639-10b600c38d82.webp?v=1788545030"},{"product_id":"introduction-to-stochastic-programming-hardcover-1","title":"Introduction to Stochastic Programming - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eJohn R. Birge\u003c\/b\u003e (Author), \u003cb\u003eFrançois Louveaux\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe aim of stochastic programming is to find optimal decisions in problems which involve uncertain data. This field is currently developing rapidly with contributions from many disciplines including operations research, mathematics, and probability. At the same time, it is now being applied in a wide variety of subjects ranging from agriculture to financial planning and from industrial engineering to computer networks. This textbook provides a first course in stochastic programming suitable for students with a basic knowledge of linear programming, elementary analysis, and probability. The authors aim to present a broad overview of the main themes and methods of the subject. Its prime goal is to help students develop an intuition on how to model uncertainty into mathematical problems, what uncertainty changes bring to the decision process, and what techniques help to manage uncertainty in solving the problems. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eIn this extensively updated new edition there is more material on methods and examples including several new approaches for discrete variables, new results on risk measures in modeling and Monte Carlo sampling methods, a new chapter on relationships to other methods including approximate dynamic programming, robust optimization and online methods.\u003cp\u003eThe book is highly illustrated with chapter summaries and many examples and exercises. Students, researchers and practitioners in operations research and the optimization area will find it particularly of interest. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eReview of First Edition: \u003c\/p\u003e\u003cp\u003e\"The discussion on modeling issues, the large number of examples used to illustrate the material, and the breadth of the coverage make 'Introduction to Stochastic Programming' an ideal textbook for the area.\" (Interfaces, 1998)\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe aim of stochastic programming is to find optimal decisions in problems which involve uncertain data. This field is currently developing rapidly with contributions from many disciplines including operations research, mathematics, and probability. At the same time, it is now being applied in a wide variety of subjects ranging from agriculture to financial planning and from industrial engineering to computer networks. This textbook provides a first course in stochastic programming suitable for students with a basic knowledge of linear programming, elementary analysis, and probability. The authors aim to present a broad overview of the main themes and methods of the subject. Its prime goal is to help students develop an intuition on how to model uncertainty into mathematical problems, what uncertainty changes bring to the decision process, and what techniques help to manage uncertainty in solving the problems. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eIn this extensively updated new edition there is more material on methods and examples including several new approaches for discrete variables, new results on risk measures in modeling and Monte Carlo sampling methods, a new chapter on relationships to other methods including approximate dynamic programming, robust optimization and online methods.\u003cp\u003eThe book is highly illustrated with chapter summaries and many examples and exercises. Students, researchers and practitioners in operations research and the optimization area will find it particularly of interest. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003eReview of First Edition: \u003c\/p\u003e\u003cp\u003e\"The discussion on modeling issues, the large number of examples used to illustrate the material, and the breadth of the coverage make 'Introduction to Stochastic Programming' an ideal textbook for the area.\" (Interfaces, 1998) \u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eJohn R. Birge, is a Jerry W. and Carol Lee Levin Professor of Operations Management at the University of Chicago Booth School of Business. François Louveaux is a Professor at the University of Namur(FUNDP) in the Department of Business Administration\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 485\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.13 x 10 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 27, 2011\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486390120746,"sku":"9781461402367","price":186.63,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/3kE8o8ISF19781461402367_1e97089d-5420-46a9-9476-bd8d25ab5274.webp?v=1788545031"},{"product_id":"a-dictionary-of-real-numbers-paperback-1","title":"A Dictionary of Real Numbers - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eJonathan Borwein\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eHow do we recognize that the number . 93371663 . . . is actually 2 IoglQ(e ] 7r)\/2 ? Gauss observed that the number 1. 85407467 . . . is (essentially) a rational value of an elliptic integral-an observation that was critical in the development of nineteenth century analysis. How do we decide that such a number is actually a special value of a familiar function without the tools Gauss had at his disposal, which were, presumably, phenomenal insight and a prodigious memory? Part of the answer, we hope, lies in this volume. This book is structured like a reverse telephone book, or more accurately, like a reverse handbook of special function values. It is a list of just over 100,000 eight-digit real numbers in the interval [0,1) that arise as the first eight digits of special values of familiar functions. It is designed for people, like ourselves, who encounter various numbers computationally and want to know if these numbers have some simple form. This is not a particularly well-defined endeavor-every eight-digit number is rational and this is not interesting. However, the chances of an eight digit number agreeing with a small rational, say with numerator and denominator less than twenty-five, is small. Thus the list is comprised primarily of special function evaluations at various algebraic and simple transcendental values. The exact numbers included are described below. Each entry consists of the first eight digits after the decimal point of the number in question.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 434\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.89 x 11 x 8.25 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e December 30, 2011\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486391464234,"sku":"9781461585121","price":106.77,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/xTb72wtDhU9781461585121_cd01f6f4-74ca-46d5-a2dc-505341922e6f.webp?v=1788545032"},{"product_id":"healthcare-analytics-foundations-and-frontiers-paperback-1","title":"Healthcare Analytics: Foundations and Frontiers - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eRoss M. Mullner\u003c\/b\u003e (Editor), \u003cb\u003eEdward M. Rafalski\u003c\/b\u003e (Editor)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis is a comprehensive, practical guide which looks at the advantages and limitations of new data analysis techniques being introduced across public health and administration services.\u003c\/p\u003e\u003cp\u003eThe Affordable Care Act (ACT) and free market reforms in healthcare are generating a rapid change of pace. The \"electronification\" of medical records from paper to digital, which is required to meet the meaningful use standards set forth by the Act, is advancing what and how information can be analyzed. Coupled with the advent of more computing power and big data analytics and techniques, practitioners now more than ever need to stay on top of these trends. This book presents a comprehensive look at healthcare analytics from population data to geospatial analysis using current case studies and data analysis examples in health. \u003c\/p\u003e\u003cp\u003eThis resource will appeal to undergraduate and graduate students in health administration and public health. It will benefit healthcare professionals and administrators in nursing and public health, as well as medical students who are interested in the future of data within healthcare.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eRoss M. Mullner\u003c\/b\u003e is Associate Professor of Health Policy Administration at the University of Chicago at Illinois. Dr. Mullner's research interests are Health Services Research, Cancer Care and the History of Public Health. \u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eEdward M. Rafalski\u003c\/strong\u003e is Clinical Assistant Professor at University of Illinois School of Public Health. He holds qualifications from the University of Chicago and Yale University School of Public Health.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 120\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.3 x 9.6 x 6.8 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 10, 2019\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486391595306,"sku":"9781138196360","price":101.33,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/YAmxisLTcH9781138196360_25d5399b-7847-44c8-81e0-84000540ce38.webp?v=1788545032"},{"product_id":"brownian-motion-and-stochastic-calculus-paperback-1","title":"Brownian Motion and Stochastic Calculus - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eIoannis Karatzas\u003c\/b\u003e (Author), \u003cb\u003eSteven Shreve\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eThis book is designed as a text for graduate courses in stochastic processes. It contains a detailed discussion of weak and strong solutions of stochastic differential equations and a study of local time for semimartingales, with special emphasis on the theory of Brownian local time. The text is complemented by a large number of problems and exercises.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 470\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.1 x 9.1 x 6.1 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 16, 1991\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486391693610,"sku":"9780387976556","price":124.86,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/FJbqB8ofyl9780387976556_f300f01d-2617-4ece-a84d-76569fe50fc6.webp?v=1788545032"},{"product_id":"multivariate-data-analysis-on-matrix-manifolds-with-manopt-paperback-1","title":"Multivariate Data Analysis on Matrix Manifolds: (With Manopt) - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eNickolay Trendafilov\u003c\/b\u003e (Author), \u003cb\u003eMichele Gallo\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eThis graduate-level textbook aims to give a unified presentation and solution of several commonly used techniques for multivariate data analysis (MDA). Unlike similar texts, it treats the MDA problems as optimization problems on matrix manifolds defined by the MDA model parameters, allowing them to be solved using (free) optimization software Manopt. The book includes numerous in-text examples as well as Manopt codes and software guides, which can be applied directly or used as templates for solving similar and new problems. The first two chapters provide an overview and essential background for studying MDA, giving basic information and notations. Next, it considers several sets of matrices routinely used in MDA as parameter spaces, along with their basic topological properties. A brief introduction to matrix (Riemannian) manifolds and optimization methods on them with Manopt complete the MDA prerequisite. The remaining chapters study individual MDA techniques in depth. The number of exercises complement the main text with additional information and occasionally involve open and\/or challenging research questions. Suitable fields include computational statistics, data analysis, data mining and data science, as well as theoretical computer science, machine learning and optimization. It is assumed that the readers have some familiarity with MDA and some experience with matrix analysis, computing, and optimization.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eThis graduate-level textbook aims to give a unified presentation and solution of several commonly used techniques for multivariate data analysis (MDA). Unlike similar texts, it treats the MDA problems as optimization problems on matrix manifolds defined by the MDA model parameters, allowing them to be solved using (free) optimization software Manopt. The book includes numerous in-text examples as well as Manopt codes and software guides, which can be applied directly or used as templates for solving similar and new problems. The first two chapters provide an overview and essential background for studying MDA, giving basic information and notations. Next, it considers several sets of matrices routinely used in MDA as parameter spaces, along with their basic topological properties. A brief introduction to matrix (Riemannian) manifolds and optimization methods on them with Manopt complete the MDA prerequisite. The remaining chapters study individual MDA techniques in depth. The number ofexercises complement the main text with additional information and occasionally involve open and\/or challenging research questions. Suitable fields include computational statistics, data analysis, data mining and data science, as well as theoretical computer science, machine learning and optimization. It is assumed that the readers have some familiarity with MDA and some experience with matrix analysis, computing, and optimization.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eNickolay T. Trendafilov is Reader of Computational Statistics in the School of Mathematics and Statistics, Open University, UK. He received MSc and PhD in the Department of Mathematics and Informatics, University of Sofia \"St. Kl. Ohridski\", and then joined the Laboratory of Computational Stochastic, Bulgarian Academy of Sciences. He held research and visiting positions in a number of universities in Belgium, Italy, Japan and USA. His interests are in the computational aspects of multivariate data analysis and interpretation. Other activities include elected memberships in the International Statistical Institute (ISI), the Royal Statistical Society's (RSS) Computing Section, and the Board of Directors, European Regional Section of the International Association for Statistical Computing (IASC). \u003cbr\u003eMichele Gallo is Professor in the Department of Human and Social Sciences at the University of Naples - L'Orientale. He received his PhD degree in Total Quality Management from the University of Naples - Federico II, in 2000. His current research interest is in Multivariate Data Analysis, Compositional and Ordinal Data, Rasch Analysis. He has published more than 90 research articles. He is Associate-Editor of the journal Computational Statistics. \u003cbr\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 450\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.95 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 16, 2022\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486391791914,"sku":"9783030769765","price":115.84,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/cKTYD8_Edr9783030769765_5035c617-d895-415d-a6d3-3f0de35ca7c2.webp?v=1788545032"},{"product_id":"running-like-zebras-paperback-1","title":"Running Like Zebras - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eEdip Yuksel\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eThis book contains numerous debates on the prophetic numerical system embedded ni the Quran. Edip Yüksel responds and refutes critics and skeptics, such as: Abu Ameenah Bilal Philips: Sunni scholar Carl Sagan: astronomer, astrophysicist, cosmologist, and skeptic author Daniel Abdurrahman Lomax: Sunni computer engineer Ayman Mutaakher: anonymous Sunni critic James (Amazing) Randi: founder of Randi Foundation, a skeptic activist Michael Shermer: editor and publisher of the Skeptic Magazine, author, columnist The miraculous function of the number 19 prophesized in Chapter 74 was unveiled in 1974 through a computerized analysis of the Quran. Though, in retrospect, the implication of 19 in Chapter 74 traditionally called Hidden One, were obvious, it remained a secret for 1406 (19x74) lunar years after the revelation of the Quran. Ironically, the first words of the Chapter 74, The Hidden One, was revealing, yet the code was a divinely guarded gift allocated to the computer generation; they were the one who would need and appreciate it the most. As we have demonstrated in various books, hundreds of simple and complex algorithms, we witness the depth and breath of mathematical manipulation of Arabic, an arbitrary human language, to be profound and extraordinary. This is the fulfillment of a Quranic challenge (17:88). While the meaning of the Quranic text and its literal excellence was kept, all its units, from chapters, verses, words to its letters were also assigned universally recognizable roles in creation of mathematical patterns. Since its discovery, the number 19 of the Quran and the Bible has increased the appreciation of many of those who acknowledge the truth, has removed doubts in the minds of many People of the Book, and has caused discord, controversy and chaos among those who have traded the Quran with men-made sectarian teachings. This is indeed a fulfillment of a Quranic prophecy (74:30-31). 14.The improbability and impossibility of the numerical structure of the Quran being produced by a medieval Arab genius becomes evident when we consider the following factors: -It includes simple elements of the Quran and goes deeper to an interlocking system of complex numerical patterns and relationships. -It involves not only frequencies of letters and words but also the numerical values of letters. -It involves not only an intricate numerical pattern but also a huge set of data consisting of units with multiple functions, such as letters that are also digits, words that are also numbers. -The nemeroliteral aspect of the Quran were not known by the adherents of the Quran until late 1960s and especially, 1974. -The literary aspect of the Quran has received praises from many literary giants throughout centuries. -The scientific accuracy of Quranic statements on various fields has been immaculate. -Muhammad was one of the busiest and greatest social and political reformists in human history. -The timing of the discovery of the code is precise and prophetic. -A series of prophetic events regarding the code has been fulfilled.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 504\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.12 x 9.02 x 5.98 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e February 25, 2012\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486394183978,"sku":"9780982586730","price":37.64,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/RZ-kM34j-M9780982586730_76f96f12-1aae-4504-91c0-6e1c76e24ab1.webp?v=1788545034"},{"product_id":"matched-sampling-for-causal-effects-paperback-1","title":"Matched Sampling for Causal Effects - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eDonald B. Rubin\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eMatched sampling is often used to help assess the causal effect of some exposure or intervention, typically when randomized experiments are not available or cannot be conducted. This book presents a selection of Donald B. Rubin's research articles on matched sampling, from the early 1970s, when the author was one of the major researchers involved in establishing the field, to recent contributions to this now extremely active area. The articles include fundamental theoretical studies that have become classics, important extensions, and real applications that range from breast cancer treatments to tobacco litigation to studies of criminal tendencies. They are organized into seven parts, each with an introduction by the author that provides historical and personal context and discusses the relevance of the work today. A concluding essay offers advice to investigators designing observational studies. The book provides an accessible introduction to the study of matched sampling and will be an indispensable reference for students and researchers.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 502\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.01 x 9.2 x 6.36 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 04, 2006\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486394085674,"sku":"9780521674362","price":111.53,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/ps3LsBJWMy9780521674362_b4a98561-3730-410c-8d9c-8cb685f3e3cb.webp?v=1788545034"},{"product_id":"stochastic-models-for-learning-paperback-1","title":"Stochastic Models for Learning - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eRobert R. Bush\u003c\/b\u003e (Author), \u003cb\u003eFrederick Mosteller\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e2012 Reprint of 1955 Edition. Exact facsimile of the original edition, not reproduced with Optical Recognition Software. A stochastic process is one in which the probabilities of a set of events keep changing with time. Bush and Mosteller make use of the mathematical techniques developed for the study of such processes in building a theory of learning and then apply the theory to explain the results of several learning experiments. Contents: Part I: The mathematical system and the general model -- 1. The basic model -- 2. Stimulus sampling and conditioning -- 3. Sequences of events -- 4. Distributions of response probabilities -- 5. The equal alpha condition -- 6. Approximate methods -- 7. Operators with limits zero and unity -- 8. Commuting operators -- Part II: Applications -- 9. Identification and estimation -- 10. Free-recall verbal learning -- 11. Avoidance training -- 12. An experiment on imitation -- 13. Symmetric choice problems -- 14. Runway experiments -- 15. Evaluations.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 382\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.85 x 9 x 6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 17, 2012\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486394347818,"sku":"9781614273196","price":36.09,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/YdYkWC5NMY9781614273196_5ab2117e-464b-451a-961b-10b0bbad3c8e.webp?v=1788545034"},{"product_id":"r-markdown-the-definitive-guide-paperback-1","title":"R Markdown: The Definitive Guide - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eYihui Xie\u003c\/b\u003e (Author), \u003cb\u003eJ. J. Allaire\u003c\/b\u003e (Author), \u003cb\u003eGarrett Grolemund\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eR Markdown: The Definitive Guide\u003c\/strong\u003e is the first official book authored by the core R Markdown developers that provides a comprehensive and accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations, dashboards, interactive applications, books, dissertations, websites, and journal articles, while enjoying the simplicity of Markdown and the great power of R and other languages. \u003c\/p\u003e\u003cp\u003eIn this book, you will learn\u003c\/p\u003e\u003cul\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eBasics: Syntax of Markdown and R code chunks, how to generate figures and tables, and how to use other computing languages \u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eBuilt-in output formats of R Markdown: PDF\/HTML\/Word\/RTF\/Markdown documents and ioslides\/Slidy\/Beamer\/PowerPoint presentations \u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eExtensions and applications: Dashboards, Tufte handouts, xaringan\/reveal.js presentations, websites, books, journal articles, and interactive tutorials \u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eAdvanced topics: Parameterized reports, HTML widgets, document templates, custom output formats, and Shiny documents. \u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003eYihui Xie is a software engineer at RStudio. He has authored and co-authored several R packages, including knitr, rmarkdown, bookdown, blogdown, shiny, xaringan, and animation. He has published three other books, \u003ci\u003eDynamic Documents with R and knitr\u003c\/i\u003e, \u003ci\u003ebookdown: Authoring Books and Technical Documents with R Markdown\u003c\/i\u003e, and \u003ci\u003eblogdown: Creating Websites with R Markdown\u003c\/i\u003e.\u003c\/p\u003e\u003cp\u003eJ.J. Allaire is the founder of RStudio and the creator of the RStudio IDE. He is an author of several packages in the R Markdown ecosystem including rmarkdown, flexdashboard, learnr, and radix.\u003c\/p\u003e\u003cp\u003eGarrett Grolemund is the co-author of \u003ci\u003eR for Data Science\u003c\/i\u003e and author of \u003ci\u003eHands-On Programming with R\u003c\/i\u003e. 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Falkner\u003c\/b\u003e (Translator)\u003c\/p\u003e\u003cp\u003eThis Is A New Release Of The Original 1891 Edition.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 248\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.52 x 9.02 x 5.98 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 07, 2014\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486395527466,"sku":"9781498192910","price":58.53,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/euqVRLAiqH9781498192910_42d1fa8b-4485-402f-afb8-4ed7dd002712.webp?v=1788545035"},{"product_id":"the-great-unknown-seven-journeys-to-the-frontiers-of-science-paperback-1","title":"The Great Unknown: Seven Journeys to the Frontiers of Science - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eMarcus Du Sautoy\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003cb\u003e\"An engaging voyage into some of the great mysteries and wonders of our world.\" --Alan Lightman, author of \u003ci\u003eEinstein's Dream\u003c\/i\u003e and \u003ci\u003eThe Accidental Universe\u003c\/i\u003e\u003c\/b\u003e\u003cbr\u003e \u003cb\u003e \u003c\/b\u003e\u003cbr\u003e \u003cb\u003e\"No one is better at making the recondite accessible and exciting.\" --Bill Bryson \u003c\/b\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eBrain Pickings and \u003ci\u003eKirkus\u003c\/i\u003e Best Science Book of the Year\u003cbr\u003e\u003ci\u003e\u003cbr\u003e\u003c\/i\u003eEvery week seems to throw up a new discovery, shaking the foundations of what we know. But are there questions we will never be able to answer--mysteries that lie beyond the predictive powers of science? In this captivating exploration of our most tantalizing unknowns, Marcus du Sautoy invites us to consider the problems in cosmology, quantum physics, mathematics, and neuroscience that continue to bedevil scientists and creative thinkers who are at the forefront of their fields. \u003cp\u003e\u003c\/p\u003e At once exhilarating, mind-bending, and compulsively readable, \u003ci\u003eThe Great Unknown \u003c\/i\u003echallenges us to consider big questions--about the nature of consciousness, what came before the big bang, and what lies beyond our horizons--while taking us on a virtuoso tour of the great breakthroughs of the past and celebrating the men and women who dared to tackle the seemingly impossible and had the imagination to come up with new ways of seeing the world.\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eMarcus du Sautoy\u003c\/b\u003e is the Charles Simonyi Professor for the Public Understanding of Science at Oxford University, a position previously held by Richard Dawkins, and the bestselling author of \u003ci\u003eThe Music of the Primes\u003c\/i\u003e. He has received the Berwick prize, given to Britain's most outstanding young mathematician, and the Royal Society's Faraday Prize for excellence in communicating science. Amember of a theatre group who is speaks frequently about the ties between art and science, he contributed thoughts on time to Simon McBurney's Encounter and created the codes for Lauren Child's Ruby Redfort detective series. He has written and presented more than a dozen popular television series, including \u003ci\u003eThe Story of Maths\u003c\/i\u003e, \u003ci\u003eThe Code\u003c\/i\u003e, and \u003ci\u003eMusic of the Primes\u003c\/i\u003e. He was made an Officer of the British Empire by the Queen for his services to Science.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 464\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.1 x 8.3 x 5.4 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e April 10, 2018\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486396018986,"sku":"9780735221826","price":27.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/vOgRSDaoKK9780735221826_4336692a-3de4-4f20-bce1-7abb16c7e229.webp?v=1788545035"},{"product_id":"introduction-to-data-analysis-with-r-for-forensic-scientists-paperback-1","title":"Introduction to Data Analysis with R for Forensic Scientists - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eJames Michael Curran\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eStatistical methods provide a logical, coherent framework in which data from experimental science can be analyzed. However, many researchers lack the statistical skills or resources that would allow them to explore their data to its full potential. \u003cstrong\u003eIntroduction to Data Analysis with R for Forensic Sciences\u003c\/strong\u003e minimizes theory and mathematics and focuses on the application and practice of statistics to provide researchers with the dexterity necessary to systematically analyze data discovered from the fruits of their research.\u003c\/p\u003e\u003cp\u003eUsing traditional techniques and employing examples and tutorials with real data collected from experiments, this book presents the following critical information necessary for researchers: \u003c\/p\u003e\u003cul\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eA refresher on basic statistics and an introduction to R\u003c\/li\u003e \u003cli\u003eConsiderations and techniques for the visual display of data through graphics\u003c\/li\u003e \u003cli\u003eAn overview of statistical hypothesis tests and the reasoning behind them\u003c\/li\u003e \u003cli\u003eA comprehensive guide to the use of the linear model, the foundation of most statistics encountered\u003c\/li\u003e \u003cli\u003eAn introduction to extensions to the linear model for commonly encountered scenarios, including logistic and Poisson regression\u003c\/li\u003e \u003cli\u003eInstruction on how to plan and design experiments in a way that minimizes cost and maximizes the chances of finding differences that may exist\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003eFocusing on forensic examples but useful for anyone working in a laboratory, this volume enables researchers to get the most out of their experiments by allowing them to cogently analyze the data they have collected, saving valuable time and effort.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eJames M. Curran is currently an Associate Professor of Statistics in the Department of Statistics at the University of Auckland (Auckland, New Zealand). Dr. Curran is also the co-director of the New Zealand Bioinformatics Institute at the University of Auckland (www.bioinformatics.org.nz).\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 331\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.69 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 07, 2019\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486396117290,"sku":"9781138381445","price":173.9,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/RxDQFbdhoJ9781138381445_0460f942-74ac-478a-9060-9d316d28c26e.webp?v=1788545036"},{"product_id":"mathematical-methods-in-the-theory-of-queuing-paperback-1","title":"Mathematical Methods in the Theory of Queuing - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eA. Y. Khinchin\u003c\/b\u003e (Author), \u003cb\u003eD. M. Andrews\u003c\/b\u003e (Translator), \u003cb\u003eM. H. Quenouille\u003c\/b\u003e (Translator)\u003c\/p\u003e\u003cp\u003eWritten by a prominent Russian mathematician, this concise monograph examines aspects of queuing theory as an application of probability. Prerequisites include a familiarity with the theory of probability and mathematical analysis. 1960 edition.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 128\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.4 x 7.9 x 5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e April 17, 2013\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486396379434,"sku":"9780486490960","price":22.67,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/wyi6rn5X9B9780486490960_96b6082e-b0e6-4307-9fb7-a42898078a78.webp?v=1788545036"},{"product_id":"outlier-detection-for-temporal-data-paperback-1","title":"Outlier Detection for Temporal Data - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eManish Gupta\u003c\/b\u003e (Author), \u003cb\u003eJing Gao\u003c\/b\u003e (Author), \u003cb\u003eCharu Aggarwal\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eOutlier (or anomaly) detection is a very broad field which has been studied in the context of a large number of research areas like statistics, data mining, sensor networks, environmental science, distributed systems, spatio-temporal mining, etc. Initial research in outlier detection focused on time series-based outliers (in statistics). Since then, outlier detection has been studied on a large variety of data types including high-dimensional data, uncertain data, stream data, network data, time series data, spatial data, and spatio-temporal data. While there have been many tutorials and surveys for general outlier detection, we focus on outlier detection for temporal data in this book. A large number of applications generate temporal datasets. For example, in our everyday life, various kinds of records like credit, personnel, financial, judicial, medical, etc., are all temporal. This stresses the need for an organized and detailed study of outliers with respect to such temporal data.In the past decade, there has been a lot of research on various forms of temporal data including consecutive data snapshots, series of data snapshots and data streams. Besides the initial work on time series, researchers have focused on rich forms of data including multiple data streams, spatio-temporal data, network data, community distribution data, etc. Compared to general outlier detection, techniques for temporal outlier detection are very different. In this book, we will present an organized picture of both recent and past research in temporal outlier detection. We start with the basics and then ramp up the reader to the main ideas in state-of-the-art outlier detection techniques. We motivate the importance of temporal outlier detection and brief the challenges beyond usual outlier detection. Then, we list down a taxonomy of proposed techniques for temporal outlier detection. Such techniques broadly include statistical techniques (like AR models, Markov models, histograms, neuralnetworks), distance- and density-based approaches, grouping-based approaches (clustering, community detection), network-based approaches, and spatio-temporal outlier detection approaches. We summarize by presenting a wide collection of applications where temporal outlier detection techniques have been applied to discover interesting outliers. Table of Contents: Preface \/ Acknowledgments \/ Figure Credits \/ Introduction and Challenges \/ Outlier Detection for Time Series and Data Sequences \/ Outlier Detection for Data Streams \/ Outlier Detection for Distributed Data Streams \/ Outlier Detection for Spatio-Temporal Data \/ Outlier Detection for Temporal Network Data \/ Applications of Outlier Detection for Temporal Data \/ Conclusions and Research Directions \/ Bibliography \/ Authors' Biographies\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eManish Gupta is an applied researcher at Microsoft Bing, India. He is also an adjunct faculty at the International Institute of Information Technology, Hyderabad (IIIT-H), India. He received his Masters in Computer Science from IIT Bombay in 2007 and his Ph.D. in Computer Science from University of Illinois at Urbana Champaign in 2013. He worked for Yahoo! Bangalore from 2007 to 2009. His research interests are in the areas of data mining, information retrieval, and web mining. Jing Gao received her Ph.D. from University of Illinois at Urbana Champaign in 2011. She is currently an assistant professor in the Computer Science and Engineering Department of the State University of New York at Buffalo. She was a recipient of an IBM Ph.D. fellowship and is broadly interested in data and information analysis with a focus on information integration, ensemble methods, transfer learning, anomaly detection, and mining data streams. She is a member of the IEEE. Charu C. Aggarwal is a Research Scientist at the IBM T. J. Watson Research Center in Yorktown Heights, New York. He completed his Ph.D. from Massachusetts Institute of Technology in 1996. He has since worked in the field of performance analysis, databases, and data mining. He has published over 200 papers in refereed conferences and journals, and has applied for, or been granted, over 80 patents. He has received the IBM Corporate Award (2003), IBM Outstanding Innovation Award (2008), IBM Research Division Award (2008), and Master Inventor at IBM three times. He is a fellow of the ACM and IEEE. Jiawei Han is the Abel Bliss Professor of Computer Science at the University of Illinois at Urbana-Champaign. His research includes data mining, information network analysis, database systems, and data warehousing, with over 600 journal and conference publications. He has chaired or served on many program committees of international conferences, including PC co-chair for KDD, SDM, and ICDM conferences, and Americas Coordinator forVLDB conferences. He also served as the founding Editor-In-Chief of ACM Transactions on Knowledge Discovery from Data and is serving as the Director of Information Network Academic Research Center supported by U.S. Army Research Lab. He is Fellow of ACM and Fellow of IEEE, and received 2004 ACM SIGKDD Innovations Award, 2005 IEEE Computer Society Technical Achievement Award, 2009 IEEE Computer Society Wallace McDowell Award, and 2011 Daniel C. Drucker Eminent Faculty Award at UIUC. His book, Data Mining: Concepts and Techniques, has been used popularly as a textbook worldwide.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 110\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.28 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e April 14, 2014\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486396739882,"sku":"9783031007774","price":75.92,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/ZV3ScBkAY09783031007774_a5e9f4d5-f0f7-489b-aa67-704576827fd5.webp?v=1788545036"},{"product_id":"statistics-with-confidence-confidence-intervals-and-statistical-guidelines-paperback-1","title":"Statistics with Confidence: Confidence Intervals and Statistical Guidelines - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eDouglas Altman\u003c\/b\u003e (Editor), \u003cb\u003eDavid Machin\u003c\/b\u003e (Editor), \u003cb\u003eTrevor Bryant\u003c\/b\u003e (Editor)\u003c\/p\u003e\u003cp\u003eThis highly popular introduction to confidence intervals has been thoroughly updated and expanded. It includes methods for using confidence intervals, with illustrative worked examples and extensive guidelines and checklists to help the novice.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eStatistics with Confidence\u003c\/b\u003e is a widely acclaimed classic introduction to confidence intervals. The second edition, with contributions from leading medical statisticians, has been thoroughly revised and expanded. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eNew chapters include: \u003c\/b\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003ediagnostic studies.\u003c\/li\u003e \u003cli\u003eclinical trials and meta analyses.\u003c\/li\u003e \u003cli\u003econfidence intervals and sample sizes.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThe Windows computer software (CIA) in the accompanying disk enables confidence intervals to be calculated using the methods described in the book. This comprehensive collection of methods includes some that are not readily available elsewhere.\u003c\/p\u003e \u003cp\u003eFeaturing methods for using confidence intervals, illustrative worked examples and helpful checklists this is a truly practical guide for clinical readers to a fundamental aspect of medical statistics.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eDouglas Altman FMedSci was an English statistician best known for his work on improving the reliability and reporting of medical research and for highly cited papers on statistical methodology. David Machin is Professor of Media and Communication at örebro University, Sweden. He has published numerous books and journal papers mostly drawing on linguistic methods.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 254\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.53 x 8.5 x 5.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e January 01, 2001\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486397165866,"sku":"9780727913753","price":127.88,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/afKFI62Bq9780727913753_a0c4193e-2e38-4a5c-a37f-c53a54353682.webp?v=1788545036"},{"product_id":"bookdown-authoring-books-and-technical-documents-with-r-markdown-paperback-1","title":"Bookdown: Authoring Books and Technical Documents with R Markdown - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eYihui Xie\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003ebookdown: Authoring Books and Technical Documents with R Markdown presents a much easier way to write books and technical publications than traditional tools such as LaTeX and Word. The \u003cb\u003ebookdown\u003c\/b\u003e package inherits the simplicity of syntax and flexibility for data analysis from R Markdown, and extends R Markdown for technical writing, so that you can make better use of document elements such as figures, tables, equations, theorems, citations, and references. Similar to LaTeX, you can number and cross-reference these elements with \u003cb\u003ebookdown\u003c\/b\u003e. Your document can even include live examples so readers can interact with them while reading the book. The book can be rendered to multiple output formats, including LaTeX\/PDF, HTML, EPUB, and Word, thus making it easy to put your documents online. The style and theme of these output formats can be customized.\u003c\/p\u003e\u003cp\u003eWe used books and R primarily for examples in this book, but \u003cb\u003ebookdown\u003c\/b\u003e is not only for books or R. Most features introduced in this book also apply to other types of publications: journal papers, reports, dissertations, course handouts, study notes, and even novels. You do not have to use R, either. Other choices of computing languages include Python, C, C++, SQL, Bash, Stan, JavaScript, and so on, although R is best supported. You can also leave out computing, for example, to write a fiction. This book itself is an example of publishing with \u003cb\u003ebookdown\u003c\/b\u003e and R Markdown, and its source is fully available on GitHub.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eYihui Xie\u003c\/strong\u003e is a software engineer at RStudio. He is the author of several R packages, and interested in statistical computing, data visualization, and web technologies. He founded the largest online community for statistics \"Capital of Statistics\" in China in 2006. After publishing a few journal papers, a PhD thesis, and the book \u003ci\u003eDynamic Documents with R and knitr\u003c\/i\u003e, the frustration with LaTeX eventually led to the creation of \u003cb\u003ebookdown\u003c\/b\u003e.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 138\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.4 x 9.2 x 6.1 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e December 19, 2016\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486397329706,"sku":"9781138700109","price":68.67,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/jzylWgwoS39781138700109_d06cc6fe-5f32-4c55-8e82-0d8fcc3860ad.webp?v=1788545037"},{"product_id":"graph-mining-laws-tools-and-case-studies-paperback-1","title":"Graph Mining: Laws, Tools, and Case Studies - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eDeepayan Chakrabarti\u003c\/b\u003e (Author), \u003cb\u003eChristos Faloutsos\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eWhat does the Web look like? How can we find patterns, communities, outliers, in a social network? Which are the most central nodes in a network? These are the questions that motivate this work. Networks and graphs appear in many diverse settings, for example in social networks, computer-communication networks (intrusion detection, traffic management), protein-protein interaction networks in biology, document-text bipartite graphs in text retrieval, person-account graphs in financial fraud detection, and others. In this work, first we list several surprising patterns that real graphs tend to follow. Then we give a detailed list of generators that try to mirror these patterns. Generators are important, because they can help with \"what if\" scenarios, extrapolations, and anonymization. Then we provide a list of powerful tools for graph analysis, and specifically spectral methods (Singular Value Decomposition (SVD)), tensors, and case studies like the famous \"pageRank\" algorithm and the \"HITS\" algorithm for ranking web search results. Finally, we conclude with a survey of tools and observations from related fields like sociology, which provide complementary viewpoints. Table of Contents: Introduction \/ Patterns in Static Graphs \/ Patterns in Evolving Graphs \/ Patterns in Weighted Graphs \/ Discussion: The Structure of Specific Graphs \/ Discussion: Power Laws and Deviations \/ Summary of Patterns \/ Graph Generators \/ Preferential Attachment and Variants \/ Incorporating Geographical Information \/ The RMat \/ Graph Generation by Kronecker Multiplication \/ Summary and Practitioner's Guide \/ SVD, Random Walks, and Tensors \/ Tensors \/ Community Detection \/ Influence\/Virus Propagation and Immunization \/ Case Studies \/ Social Networks \/ Other Related Work \/ Conclusions\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eDr. Deepayan Chakrabarti obtained his Ph.D. from Carnegie Mellon University in 2005. He was a Senior Research Scientist with Yahoo, and now with Facebook Inc. He has published over 35 refereed articles and is the co-inventor of the RMat graph generator (the basis of the graph500 supercomputer benchmark). He is the co-inventor in over 20 patents (issued or pending). He has given tutorials in CIKM and KDD, and his interests include graph mining, computational advertising, and web search. Christos Faloutsos is a Professor at Carnegie Mellon University and an ACM Fellow. He has received the Research Contributions Award in ICDM 2006, the SIGKDD Innovations Award (2010), 18 \"best paper\" awards (including two \"test of time\" awards), and four teaching awards. He has published over 200 refereed articles, and has given over 30 tutorials. His research interests include data mining for graphs and streams, fractals, and self-similarity, database performance, and indexing for multimedia and bio-informatics data.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 191\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.44 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e October 18, 2012\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52486398050602,"sku":"9783031007750","price":75.92,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1016\/7910\/4298\/files\/HSpu3vFFB9783031007750_546a8ec8-1fdb-44c2-b573-1210e7d7ffe7.webp?v=1788545037"}],"url":"https:\/\/corporatelinguaacademy.com\/collections\/probability-statistics-data-analysis.oembed?page=127","provider":"Corporate Lingua Academy","version":"1.0","type":"link"}