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Index
Cover Wiley Handbooks in Applied Statistics Title Page Copyright List of Figures Preface Introduction Chapter One: Probability Space
1.1 Introduction/Purpose of the Chapter 1.2 Vignette/Historical Notes 1.3 Notations and Definitions 1.4 Theory and Applications 1.5 Summary Exercises
Chapter Two: Probability Measure
2.1 Introduction/Purpose of the Chapter 2.2 Vignette/Historical Notes 2.3 Theory and Applications 2.4 Lebesgue Measure on the Unit Interval (0,1] Exercises
Chapter Three: Random Variables: Generalities
3.1 Introduction/Purpose of the Chapter 3.2 Vignette/Historical Notes 3.3 Theory and Applications Exercises
Chapter Four: Random Variables: The Discrete Case
4.1 Introduction/Purpose of the Chapter 4.2 Vignette/Historical Notes 4.3 Theory and Applications 4.4 Examples of Discrete Random Variables Exercises
Chapter Five: Random Variables: The Continuous Case
5.1 Introduction/Purpose of the Chapter 5.2 Vignette/Historical Notes 5.3 Theory and Applications 5.4 Examples Exercises
Chapter Six: Generating Random Variables
6.1 Introduction/Purpose of the Chapter 6.2 Vignette/Historical Notes 6.3 Theory and Applications 6.4 Generating Multivariate Distributions with Prescribed Covariance Structure Exercises
Chapter Seven: Random Vectors in Rn
7.1 Introduction/Purpose of the Chapter 7.2 Vignette/Historical Notes 7.3 Theory and Applications Exercises
Chapter Eight: Characteristic Function
8.1 Introduction/Purpose of the Chapter 8.2 Vignette/Historical Notes 8.3 Theory and Applications 8.4 Calculation of the Characteristic Function for Commonly Encountered Distributions Exercises
Chapter Nine: Moment-Generating Function
9.1 Introduction/Purpose of the Chapter 9.2 Vignette/Historical Notes 9.3 Theory and Applications Exercises
Chapter Ten: Gaussian Random Vectors
10.1 Introduction/Purpose of the Chapter 10.2 Vignette/Historical Notes 10.3 Theory and Applications Exercises
Chapter Eleven: Convergence Types. Almost Sure Convergence. Lp-Convergence. Convergence in Probability
11.1 Introduction/Purpose of the Chapter 11.2 Vignette/Historical Notes 11.3 Theory and Applications: Types of Convergence 11.4 Relationships Between Types of Convergence Exercises
Chapter Twelve: Limit Theorems
12.1 Introduction/Purpose of the Chapter 12.2 Vignette/Historical Notes 12.3 Theory and Applications 12.4 Central Limit Theorem Exercises
Chapter Thirteen: Appendix A: Integration Theory. General Expectations
13.1 Integral of Measurable Functions 13.2 General Expectations and Moments of a Random Variable
Chapter Fourteen: Appendix B: Inequalities Involving Random Variables and Their Expectations
14.1 Functions of Random Variables. The Transport Formula
Bibliography Index
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