统计推断（英文版·原书第2版）——时代教育·国外高校优秀教材精选

简介

本书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。本书可作为工科、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。

目录

出版说明
序
1 Probability Theory
  1.1 Set Theory
  1.2 Basics of Probability Theory
  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 Varible
  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
  3.7 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 and Correlation
  4.7 Inequalities
  4.8 Exercises
  4.9 miscellanea
5 Properties of a Random Sample
……
6 Principles of Data Reduction
7 Point Estimation
8 Hypothesis Testing
9 Interval Estimation
10 Asymptotic Evaluations
11 Analysis of Variance and Regression
12 Regression Models
Appendix:Computer Algebra
Table of Common Distributions
References
Author Index
Subject Index