统计推断(英文版原书第2版)

雷奥奇·卡塞拉、罗杰L.贝耶编著的《统计推断 (英文版原书第2版)》从概率论的基础开始，通过例 子与习题的旁征博引，引进了大量近代统计处理的新 技术和一些国内同类教材中不能见而广为使用的分布 。其内容包括工科概率论入门、经典统计和现代统计 的基础，又加进了不少近代统计中数据处理的实用方 法和思想，例如：Bootstrap再抽样法、刀切 （Jackknife）估计、EM算法、Logistic回归、稳健 （Robust）回归、Markov链、Monte Carlo方法等。 它的统计内容与国内流行的教材相比，理论较深，模 型较多，案例的涉及面要广，理论的应用面要丰富， 统计思想的阐述与算法更为具体。《统计推断(英文 版原书第2版)》可作为工科、管理类学科专业本科生 、研究生的教材或参考书，也可供教师、工程技术人 员自学之用。

出版说明 序 1 Probability Theory 1.1 Set Theory 1.2 Basics of Probability Theory 1.2.1 Axiomatic Foundations 1.2.2 The Calculus of Probabilities 1.2.3 Counting 1.2.4 Enumerating Outcomes 1.3 Conditional Probability and Independence 1.4 Random Variables 1.5 Distribution Functions 1.6 Density and Mass Functions 1.7 Exercises 1.8 Miscellanea 2 Transformations and Expectations 2.1 Distributions of Functions of a Random Variable 2.2 Expected Values 2.3 Moments and Moment Generating Functions 2.4 Differentiating Under an Integral Sign 2.5 Exercises 2.6 Miscellanea 3 Common Families of Distributions 3.1 Introduction 3.2 Discrete Distributions 3.3 Continuous Distributions 3.4 Exponential Families 3.5 Location and Scale Families 3.6 Inequalities and Identities 3.6.1 Probability Inequalities 3.6.2 Identities 3.7 Exercises 3.8 Miscellanea 4 Multiple Random Variables 4.1 Joint and Marginal Distributions 4.2 Conditional Distributions and Independence 4.3 Bivariate Transformations 4.4 Hierarchical Models and Mixture Distributions 4.5 Covariance and Correlation 4.6 Multivariate Distributions 4.7 Inequalities 4.7.1 Numerical Inequalities 4.7.2 Functional Inequalities 4.8 Exercises 4.9 Miscellanea 5 Properties of a Random Sample 5.1 Basic Concepts of Random Samples 5.2 Sums of Random Variables from a Random Sample 5.3 Sampling from the Normal Distribution 5.3.1 Properties of the Sample Mean and Variance