- 作 者：孔令臣，王立春编著
- 出 版 社：北京：北京交通大学出版社
- 出版年份：2015
- ISBN：9787512120242
- 标注页数：156 页
- PDF页数：163 页
请阅读订购服务说明与试读!
订购服务说明
1、本站所有的书默认都是PDF格式，该格式图书只能阅读和打印，不能再次编辑。
2、除分上下册或者多册的情况下，一般PDF页数一定要大于标注页数才建议下单购买。【本资源163 ≥156页】
图书下载及付费说明
1、所有的电子图书为PDF格式，支持电脑、手机、平板等各类电子设备阅读；可以任意拷贝文件到不同的阅读设备里进行阅读。
2、电子图书在提交订单后一般半小时内处理完成,最晚48小时内处理完成。(非工作日购买会延迟)
3、所有的电子图书都是原书直接扫描方式制作而成。
Chapter 1 Probability 1
1.1 Introduction 1
1.2 Sample Space and Events 1
1.3 Axioms of Probability 5
1.4 Some Simple Propositions 6
1.5 Sample Spaces Having Equally Likely Outcomes 9
1.6 Conditional Probabilities 10
1.7 Bayes's Formula 13
1.8 Independent Events 17
Exercise 1 20
Chapter 2 Discrete Random Variables and Probability Distributions 22
2.1 Random Variables 22
2.2 Probability Distributions for Discrete Random Variables 24
2.3 The Binomial and Poisson Probability Distributions 29
Exercise 2 34
Chapter 3 Continuous Random Variables and Probability Distributions 37
3.1 Probability Density Functions 37
3.2 Cumulative Distribution Functions 38
3.3 The Normal Distributions 41
3.4 The Exponential and Gamma Distributions 44
3.5 Other Continuous Distributions 48
Exercise 3 48
Chapter 4 Joint Probability Distributions 51
4.1 Joint Distribution Functions 51
4.2 Marginal Distribution Functions 54
4.3 Conditional Distributions 57
4.4 Independent Random Variables 60
4.5 Sums of Independent Random Variables 63
4.6 Joint Probability Distribution of Function of Random Variables 66
Exercise 4 67
Chapter 5 Mathematical Expectation 70
5.1 Expectation of a Random Variable 70
5.2 Variance and Variance of sums 75
5.3 Covariance and Correlations 78
5.4 Conditional Expectation 81
5.5 Chebyshev's Theorem 84
Exercise 5 86
Chapter 6 Limit Theorems 89
6.1 The Weak Law of Large Numbers 89
6.2 The Central Limit Theorem 91
Exercise 6 94
Chapter 7 Descriptive Statistics 96
7.1 Populations and Samples 96
7.2 Measures of Center and Variability 98
7.3 Sampling Distributions 100
7.4 Chi-squared Distribution,t-Distribution and F-Distribution 107
Exercise 7 115
Chapter 8 Estimation 118
8.1 Point Estimation 119
8.2 The Particular Properties of Estimators 123
8.3 Interval Estimation 130
Exercise 8 138
Appendix 140
Reference 156