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★★★★★★★2014书籍超级帖四二八《数理统计与应用》7th 海外高清书籍
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书名MATHEMATICAL STATISTICS WITH APPLICATIONS 作者Dennis D. Wackerly University of Florida William Mendenhall III University of Florida, Emeritus Richard L. Scheaffer University of Florida, Emeritus 页数939 出版社Thomson Higher Education ISBN-13: 978-0-495-38508-0 ISBN-10: 0-495-38508-5 目录Preface xiii Note to the Student xxi 1 What Is Statistics? 1 1.1 Introduction 1 1.2 Characterizing a Set of Measurements: Graphical Methods 3 1.3 Characterizing a Set of Measurements: Numerical Methods 8 1.4 How Inferences Are Made 13 1.5 Theory and Reality 14 1.6 Summary 15 2 Probability 20 2.1 Introduction 20 2.2 Probability and Inference 21 2.3 A Review of Set Notation 23 2.4 A Probabilistic Model for an Experiment: The Discrete Case 26 2.5 Calculating the Probability of an Event: The Sample-Point Method 35 2.6 Tools for Counting Sample Points 40 2.7 Conditional Probability and the Independence of Events 51 2.8 Two Laws of Probability 57 v2.9 Calculating the Probability of an Event: The Event-Composition Method 62 2.10 The Law of Total Probability and Bayes’ Rule 70 2.11 Numerical Events and Random Variables 75 2.12 Random Sampling 77 2.13 Summary 79 3 Discrete Random Variables and Their Probability Distributions 86 3.1 Basic Definition 86 3.2 The Probability Distribution for a Discrete Random Variable 87 3.3 The Expected Value of a Random Variable or a Function of a Random Variable 91 3.4 The Binomial Probability Distribution 100 3.5 The Geometric Probability Distribution 114 3.6 The Negative Binomial Probability Distribution (Optional) 121 3.7 The Hypergeometric Probability Distribution 125 3.8 The Poisson Probability Distribution 131 3.9 Moments and Moment-Generating Functions 138 3.10 Probability-Generating Functions (Optional) 143 3.11 Tchebysheff’s Theorem 146 3.12 Summary 149 4 Continuous Variables and Their Probability Distributions 157 4.1 Introduction 157 4.2 The Probability Distribution for a Continuous Random Variable 158 4.3 Expected Values for Continuous Random Variables 170 4.4 The Uniform Probability Distribution 174 4.5 The Normal Probability Distribution 178 4.6 The Gamma Probability Distribution 185 4.7 The Beta Probability Distribution 194  Dennis D. Wackerly, William Mendenhall, Richard L.jpg |
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