An Introduction to Probability and Statistics, Second Edition

The second edition of a well-received book that was published 24 years ago and continues to sell to this day, An Introduction to Probability and Statistics is now revised to incorporate new information as well as substantial updates of existing material.Content:
Chapter 1 Probability (pages 1–39):
Chapter 2 Random Variables and Their Probability Distributions (pages 40–68):
Chapter 3 Moments and Generating Functions (pages 69–101):
Chapter 4 Multiple Random Variables (pages 102–179):
Chapter 5 Some Special Distributions (pages 180–255):
Chapter 6 Limit Theorems (pages 256–305):
Chapter 7 Sample Moments and Their Distributions (pages 306–352):
Chapter 8 Parametric Point Estimation (pages 353–453):
Chapter 9 Neyman–Pearson Theory of Testing of Hypotheses (pages 454–489):
Chapter 10 Some Further Results of Hypothesis Testing (pages 490–526):
Chapter 11 Confidence Estimation (pages 527–560):
Chapter 12 General Linear Hypothesis (pages 561–597):
Chapter 13 Nonparametric Statistical Inference (pages 598–662):