Mathematical Statistics with Resampling and R

This thoroughly updated second edition combines the latest software applications with the benefits of modern resampling techniques Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. The second edition of Mathematical Statistics with Resampling and R combines modern resampling techniques and mathematical statistics. This book has been classroom-tested to ensure an accessible presentation, uses the powerful and flexible computer language R for data analysis and explores the benefits of modern resampling techniques. This book offers an introduction to permutation tests and bootstrap methods that can serve to motivate classical inference methods. The book strikes a balance between theory, computing, and applications, and the new edition explores additional topics including consulting, paired t test, ANOVA and Google Interview Questions. Throughout the book, new and updated case studies are included representing a diverse range of subjects such as flight delays, birth weights of babies, and telephone company repair times. These illustrate the relevance of the real-world applications of the material. This new edition: • Puts the focus on statistical consulting that emphasizes giving a client an understanding of data and goes beyond typical expectations • Presents new material on topics such as the paired t test, Fisher's Exact Test and the EM algorithm • Offers a new section on "Google Interview Questions" that illustrates statistical thinking • Provides a new chapter on ANOVA • Contains more exercises and updated case studies, data sets, and R code Written for undergraduate students in a mathematical statistics course as well as practitioners and researchers, the second edition of Mathematical Statistics with Resampling and R presents a revised and updated guide for applying the most current resampling techniques to mathematical statistics. This Thoroughly Updated Second Edition Combines The Latest Software Applications With The Benefits Of Modern Resampling Techniques Resampling Helps Students Understand The Meaning Of Sampling Distributions, Sampling Variability, P-values, Hypothesis Tests, And Confidence Intervals. The Second Edition Of Mathematical Statistics With Resampling And R Combines Modern Resampling Techniques And Mathematical Statistics. This Book Has Been Classroom-tested To Ensure An Accessible Presentation, Uses The Powerful And Flexible Computer Language R For Data Analysis And Explores The Benefits Of Modern Resampling Techniques. This Book Offers An Introduction To Permutation Tests And Bootstrap Methods That Can Serve To Motivate Classical Inference Methods. The Book Strikes A Balance Between Theory, Computing, And Applications. Throughout The Book, New And Updated Case Studies Representing A Diverse Range Of Subjects Such As Flight Delays, Birth Weights Of Babies, And U.s Demographics And Views On Sociological Issues Illustrate The Relevance Of Mathematical Statistics To Real-world Applications. Changes And Additions To The Second Edition Include: New Material On Topics Such As Paired Data, Fisher's Exact Test And The Em Algorithm A New Chapter On Anova A Google Interview Question Case Study And Discussion That Illustrate Statistical Thinking—starting With Understanding The Problem And Framing It Properly Before Proceeding To Solutions New Exercises And Examples, Updated Case Studies, Data Sets, And R Code Written For Undergraduate Students In A Mathematical Statistics Course As Well As Practitioners And Researchers, The Second Edition Of Mathematical Statistics With Resampling And R Presents A Revised And Updated Guide For Applying The Most Current Resampling Techniques To Mathematical Statistics. Cover Title Page Copyright Page Foreword Preface Acknowledgments Chronology of Dynasties Chronology Of Philosophers Table Of Contents Abbreviations and Abridgments 1: The Growth of Humanism 2: The Humanism of Confucius 3: Idealistic Confucianism: Mencius 4: Moral and Social Programs: The Great Learning 5: Spiritual Dimensions: The Doctrine Of The Mean 6: Naturalistic Confucianism: Hsun Tzu 7: The Natural Way of Lao Tzu 8: The Mystical Way of Chuang Tzu 9: Mo Tzu's Doctrines of Universal Love, Heaven, and Social Welfare 10: Debates on Metaphysical Concepts: The Logicians. 11: The Yin Yang School12: Legalism 13: The Philosophy of Change 14: Yin Yang Confucianism: Tung Chung-Shu 15: Taoistic Confucianism: Yang Hsiung 16: The Naturalism of Wang Ch'ung 17: The Taoism of Huai-Nan Tzu 18: Negative Taoism in the Lieh Tzu and the "Yang Chu Chapter" 19: Neo-Taoism 20: The Seven Early Buddhist Schools 21: Seng-Chao's Doctrine of Reality 22: The Philosophy of Emptiness: Chi-Tsang of the Three-Tre. Including new exercises and examples, case studies, data sets, and R code, this accessible resource presents a revised and updated guide for applying the most current resampling techniques to mathematical statistics. -- Edited summary from book