概率与统计（理工类）（英文版·原书第六版）（附CD-ROM光盘一张）——时代教育·国外高校优秀教材精选

    本书是为理工科本科生，研究生学习而编写的有关统计推理的理论，思想、方法的教材。内容包括了理工科概率论的入门，又包括了经典统计和现代统计的基础部分。
本书具有以下特点：1目的性明确，其概率部分是完全为统计而设置的，因此比国内的一般教材要少，要求的数学基础较低，只要具备初等微积分的知识即可通览全书；2通过正文与习题旁征博引，引进了一些近代统计处理的新的技术；3配有大量的例子与丰富的练习题；4 书中统计部分与国内的一般教材相比，理论上要深一些，论述的模型更多，案例的涉及面更广，实用面更丰富，统计思想的阐述与算法更具体些。

    

    

出版说明
序
1 Overview and Descriptive statistics
Introduction
1.1 Populations,Samples,and procsses
1.2 Pictorial and Tabular Methods in Descriptive Statistics
1.3 Measures of Location
1.4 Measures of Variability
Supplementary Exercises
Bibliography
2 Probability
Introduction
2.1 Sample Spaces and Events
2.2 Axions,Interpretations,and Properties of Probability
2.3 Counting Technipues
2.4 Conditional Probability
2.5 Independence
Supplementary Exercises
Bibliography
3 Discrete Random Variables and Probability Distributions
Introduction
3.1 Random Variables
3.2 Probability Distrbutions for Discrete Random Variables
3.3 Expected Vastributions for Discrete Random Varables
3.4 The Binomial Probability Distribution
3.5 Hypergeometric and Negative Binomial Distributions
3.6 The Poisson Probability Distribution
Supplementary Exercises
Bibliography
4 Continuous Random Variables and Probability Distributions
5 Joint Probability Distributions and Random Samples
6 Point Estimation
7 Statistical Intervals Based on a Single Sample
8 Tests of Hypotheses Based on a Single Sample
9 Inferences Based on Two Samples
10 The Analysis of Variance
11 Multifactor Analysis of Variance
12 Simple Linear Regression and Correlation
13 Nonlinear and Multiple Regression
14 Goodness-of-Fit Tests and Categorical Data Analysis
Appendix Tables
教辅材料申请表

Purpose . The use of probability models and statistical methods for analyzing data has become common practice in virtually all scientific disciplines. This book attempts to provide a comprehensive introduction to those models and methods most likely to be encountered and used by students in their careers in engineering and the natural sciences. Although the examples and exercises have been designed with scientists and engineers in mind, most of the methods covered are basic to statistical analyses in many other disciplines, so that students..

本书原版已是第6版，出版于2004年，是为理工科本科生、研究生学习而编写的有关统计推理的理论、思想、方法的教材。内容包括了理工科概率论的入门，又包括了经典统计和现代统计的基础部分。具体包括：描述性统计量；概率；离散随机变量与概率分布；连续型随机变量与概率分布；联合分布与随机样本；点估计；单样本区间估计；单样本假设检验；二样本推断；方差分析；多因子方差分析；简单线性回归和相关；非线性与多变量回归分析；类别数据分析与拟合度检验等。. 本书具有以下特点： 1)目的性明确，其概率部分是完全为统计而设置的，因此比国内的一般教材要少。 要求的数学基础较低，只要具备初等微积分的知识吕口可..