Synopsis
* Treats probability theory and stochastic processes as a deductive discipline and illustrates them with basic engineering applications * Approximately 1/3 of the text is new with new material on: Parameter Estimation, Random Walks, Markov Chains, and Queuing Theory, The authors' approach to the revised fourth edition of the popular text Probability, Random Variables and Stochastic Processes is to develop the subject of probability theory and stochastic processes systematically as a deductive discipline with many illustrative examples of engineering interest. The text is intended for senior/graduate level courses in probability and stochastic processes, and is aimed at students in electrical and computer engineering, mathematics, and physics. With its excellent topical coverage, the book can be used for two or three different courses. This significantly updated fourth edition now includes a coauthor, Prof. S. Unnikrishna Pillai, also from Polytechnic.
