Ash, Carol : University of Illinois at Urbana-Champaign
Summary
A self-study guide for practicing engineers, scientists, and students, this book offers practical, worked-out
examples on continuous and discrete probability for problem-solving courses. It is filled with handy diagrams,
examples, and solutions that greatly aid in the comprehension of a variety of probability problems.
Table of Contents
Part I
1- Discrete Probability: Basic Probability
Independent Trials
2-Stage Experiments
Expectation
Part II
Continuous Probability: Continuous Random Variables
Jointly Distributed
Random Variables
Jointly Distributed
Random
Variables Continued
Expectation
Conditional
Probability
Limit Theorems
