ABSTRACT

Based on a highly popular, well-established course taught by the authors, Stochastic Processes: An Introduction, Second Edition discusses the modeling and analysis of random experiments using the theory of probability. It focuses on the way in which the results or outcomes of experiments vary and evolve over time.The text begins with a review of re

chapter 1|28 pages

Some Background on Probability

chapter 2|16 pages

Some Gambling Problems

chapter 3|14 pages

Random Walks

chapter 4|34 pages

Markov Chains

chapter 5|14 pages

Poisson Processes

chapter 6|24 pages

Birth and Death Processes

chapter 7|26 pages

Queues

chapter 8|14 pages

Reliability and Renewal

chapter 9|24 pages

Branching and Other Random Processes

chapter 10|8 pages

Computer Simulations and Projects