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.
作者簡介
Sheldon M. Ross
現職：University of Southern California
目 錄
Ch1 Combinatorial Analysis
Ch2 Axioms of Probability
Ch3 Conditional Probability and Independence
Ch4 Random Variables
Ch5 Continuous Random Variables
Ch6 Jointly Distributed Random Variables
Ch7 Properties of Expectation
Ch8 Limit Theorems
Ch9 Additional Topics in Probability
Ch10 Simulation
