Probability and Random Processes

A comprehensive textbook for undergraduate courses in introductory probability. Offers a case study approach, with examples from engineering and the social and life sciences. Updated second edition includes advanced material on stochastic processes. Suitable for junior and senior level courses in industrial engineering, mathematics, business, biology, and social science departments.

Sample Spaces and Events. Probability. Random Variables and Their Distributions. Sets of Random Variables and Random Sequences. Functions of Random Variables. Expectation. Special Distributions. Fitting Distributions to Data. Random Processes: Introduction and Examples. Discrete Parameter Markov Chains. Continuous Parameter Markov Chains. Limiting Distribution of Continuous Parameter MarkovProcesses. Introduction to Queueing Theory. Appendixes. Author and Subject Index. Name Index.