An introduction to Probability and Statistical Inference(2판)

preface



CHAPTER1 Some motivating examples and some fundamental concepts

CHAPTER2 The concept of probability and basic results

CHAPTER3 Numerical characteristics of a random variable, some special random variables

CHAPTER4 Joint and conditional p.d.f.'s. conditional expectation and variance, moment generating function, covariance, and correlation coefficient

CHAPTER5 Independence of random variables and some applications

CHAPTER6 Transformaion of random variables

CHAPTER7 Some modes of convergence of random variables, applications

CHAPTER8 An overview of statistical inference

CHAPTER9 Point estimation

CHAPTER10 Confidence intervals and confkdence regions

CHAPTER11 Testing hypotheses

CHAPTER12 More about testing hypotheses

CHAPTER13 A simple linear regression model

CHAPTER14 Two models of analysis of variance

CHAPTER15 Some topics in nonparametric inference



Tables

Some notation and abbreviations

Answers to even-numbered exercises

Index

George G. Roussas