- 概率论与数理统计(高等学校教材)(英文版)
- - 作者：赖虹建//郝志峰
  - 出版社：高等教育
  - ISBN：9787040236057
  - 出版日期：2008/05/01
  - 页数：298
- 售价：8.92

内容大纲
    本书是在教育部大力推进双语教学的大背景下推出的，结合当前开展概率论与数理统计课程双语教学的实际情况，以教育部数学与统计学教学指导委员会制定的本课程教学基本要求为依据，同时兼顾概率论与数理统计课程的考研大纲要求，突出统计学的思想，着重讲解概率论与数理统计的基本概念、基本理论及基本方法，注重体现概率统计在各个领域中的广泛应用，将大量的实际应用贯穿于理论讲解的始终，将经典和近代统计思想与算法阐述得更为具体。
    本书介绍了随机事件及其概率、随机变量与概率分布、连续型随机变量、多维随机变量和中心极限定理、统计描述、参数估计、假设检验、非参数统计、回归分析以及方差分析。本书汲取了英文原版教材中流行的直观、灵活的教学方法及通过图表和案例进行概率统计教学的长处，突出应用概率统计技能培养的特点，强调学生分析问题和解决问题的实际能力，具有覆盖面全、实用性强、示例与习题丰富、内容新颖、图解清晰、难易适度等特点。
    本书邀请了一些有英美留学背景的人士进行编写和审定，在文字表述方面，英文语言简单易懂，写作风格简约。本书已在校内外经过多次试用并取得了较好的教学效果，可供高等学校理工非数学类专业概率论与数理统计课程双语教学使用。
作者介绍
目录
1  Introduction
2  Probability
    2.1  Sample Space
    2.2  Events
    2.3  Probability of Events
    2.4  Laws of Probability
    2.5  Conditional Probability
    2.6  Bayes' Rule
    Exercises 2
3  Random Variables
    3.1  Definition of Random Variables
    3.2  Discrete Random Variables
    3.3  Expectation and Variance
    3.4  Binomial Distribution
    3.5  Poisson Distribution
    Exercises 3
4  Continuous Random Variables
    4.1  Continuous Random Variables
    4.2  Uniform Distribution
    4.3  Normal Distribution
    4.4  Normal Approximation to the Binomial Distribution
    4.5  Exponential Distribution
    4.6  Function of Random Variables
    4.7  Chebyshev's Theorem
    Exercises 4
5  Random Vectors and Joint Probability Distributions
    5.1  Concept of Joint Probability Distributions
    5.2  Conditional Distribution
    5.3  Statistical Independent
    5.4  Covariance and Correlation
    5.5  Law of Large Numbers and Central Limit Theorem
    Exercises 5
6  Fundamental Sampling Distributions and Data Descriptions
    6.1  Analysis of Data
    6.2  Random Sampling
    6.3  Statistics
    6.4  Sample Distributions
    6.5  Chi-square Distribution
    6.6  Student's Distribution (t-Distribution)
    6.7  F-Distribution
    Exercises 6
7  Estimation Problems
    7.1  Point Estimation
    7.2  Interval Estimation
    7.3  Determination of the Sample Size
    7.4  Maximum Likelihood Estimation
    Exercises 7
8  Testing Hypothesis
    8.1  Statistical Hypothesis:General Concepts
    8.2  Testing a Statistical Hypothesis

    8.3  Hypothesis Concerning Mean
    8.4  Hypothesis Concerning Variance
    8.5  Relationship to Confidence Interval Estimation
    8.6  Tests for Proportion
    8.7  Tests for Independence
    8.8  Goodness-of-Fit Test
    Exercises 8
9  Nonparametric Statistics
    9.1 Sign Test
    9.2  Rank-Sum Test
    9.3  Signed-Rank Test
    Exercises 9
10  Regression and Correlation
    10.1  Introduction
    10.2  Simple Linear Regression Equation
    10.3  Parameter Estimation
    10.4  Tests the Usefulness of the Linear Regression Model
    10.5  Predictions
    10.6  Multiple Linear Regression
    10.7  Linearizable Models
    10.8  Normal Correlation Model
    Exercises 10
11  Analysis of Variance
    11.1  Introduction
    11.2  One-Way Analysis of Variance
    11.3  Two-Way Analysis of Variance
    Exercises 11
Answer to Exercises
Review Exercises
Appendix
References

内容大纲

作者介绍

目录

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