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Editorial Reviews

"Each chapter is broken down into small subunits, making this a useful reference book as well as a textbook. The material is presented clearly, and solved problems are included in the text."
--MAA Reviews

"The extensive use of illustrative examples throughout the text will enhance the learning experience of students", Robert Morelos, San Jose State University

"It is an excellent book for students, teachers and practitioners interested in the analytical and computational procedures related to random variables and stochastic processes." Rajarathnam Chandramouli, Stevens Institute of Technology

"This is a good, solid introduction to probability theory and stochastic processes. Some advanced topics are introduced a bit earlier in the development than in other books - a good point", Tom Robertazzi, Stony Brook University

"The extensive use of illustrative examples throughout the text will enhance the learning experience of students", Robert Morelos, San Jose State University

"It is an excellent book for students, teachers and practitioners interested in the analytical and computational procedures related to random variables and stochastic processes." Rajarathnam Chandramouli, Stevens Institute of Technology

"This is a good, solid introduction to probability theory and stochastic processes. Some advanced topics are introduced a bit earlier in the development than in other books ? a good point", Tom Robertazzi, Stony Brook University
Book Description
Provides aspiring engineers with a solid introduction to probability theory and stochastic processes

Ch1 Basic Probability Concepts
Ch2 Random Variables
Ch3 Moments of Random Variables
Ch4 Special Probability Distributions
Ch5 Multiple Random Variables
Ch6 Functions of Random Variables
Ch7 Transform Methods
Ch8 Introduction to Random Processes
Ch9 Linear Systems with Random Inputs
Ch10 Some Models of Random Processes
Ch11 Introduction to Statistics
Appendix 1: Table for the CDF of the Standard Normal Random Variable