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1 (p1): CHAPTER 1 Random Variables and Their Distributions 1 (p1-2): 1.1 Introduction 5 (p1-3): 1.2 Sample Distributions 14 (p1-4): 1.3 Distributions 23 (p1-5): 1.4 Random Variables 33 (p1-6): 1.5 Probability Functions and Density Functions 45 (p1-7): 1.6 Distribution Functions and Quantiles 60 (p1-8): 1.7 Univariate Transformations 69 (p1-9): 1.8 Independence 81 (p2): CHAPTER 2 Expectation 81 (p2-2): 2.1 Introduction 91 (p2-3): 2.2 Properties of Expectation 99 (p2-4): 2.3 Variance 110 (p2-5): 2.4 Weak Law of Large Numbers 121 (p2-6): 2.5 Simulation and the Monte Carlo Method 134 (p3): CHAPTER 3 Special Continuous Models 134 (p3-2): 3.1 Gamma and Beta Distributions 145 (p3-3): 3.2 The Normal Distribution 156 (p3-4): 3.3 Normal Approximation and the Central Limit Theorem 162 (p4): CHAPTER 4 Special Discrete Models 162 (p4-2): 4.1 Combinatorics 172 (p4-3): 4.2 The Binomial Distribution 188 (p4-4): 4.3 The Multinomial Distribution 195 (p4-5): 4.4 The Poisson Distribution 204 (p4-6): 4.5 The Poisson Process 209 (p5): CHAPTER 5 Dependence 209 (p5-2): 5.1 Covariance,Linear Prediction,and Correlation 219 (p5-3): 5.2 Multivariate Expectation 225 (p5-4): 5.3 Covariance and Variance-Covarian

Author

(美)stone,C.J.著, (美)Charles J.Stone著, One St, Charles J Stone

Publisher

北京:机械工业出版社

Published

2003

Language

ZH

ISBN

9787111123200