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1.Intuitive explanations are supported with an abundance of examples to give readers a thorough introduction to both the theory and applications of probability.
2.Analysis is unique to the text and elegantly designed. Examples include the knockout tournament and multiple players gambling ruin problem, as well as the new results concerning the sum of uniform and the sum of geometric random variables.
3.Three sets of exercises are given at the end of each chapter. These include Problems, Theoretical Exercises, and Self-Test Problems and Exercises. The Self-Test Problems and Exercises include complete solutions in the appendix, allowing students to test their comprehension and study for exams.
New To This Edition
1.Stream-lined exposition focuses on improved clarity and deeper understanding.
2.New examples and exercises added throughout this edition pique students’ interest while building their understanding of probability.
3.New Examples 3h and 4k, found in Chapter 3,engage students by discussing estimating the fraction of twin pairs that are identical and with analyzing serve and rally games.
作者簡介
Sheldon Ross
現職：the University of Southern California
Ch 1 Combinatorial Analysis
Ch 2 Axioms of Probability
Ch 3 Conditional Probability and Independence
Ch 4 Random Variables
Ch 5 Continuous Random Variables
Ch 6 Jointly Distributed Random Variables
Ch 7 Properties of Expectation
Ch 8 Limit Theorems
Ch 9 Simulation
Appendix A Answers to Selected Problems
Appendix B Solutions to Self-Test Problems and Exercises
