The Sixth Edition of this very successful textbook; Introduction to Probability Models; introduces elementary probability theory and stochastic processes. This book is particularly well-suited for those who want to see how probability theory can be applied to the study of phenomena in fields such as engineering; management science; the physical and social sciences; and operations research.
The Sixth Edition includes additional exercises in every chapter and a new appendix with the answers to approximately 100 of the included exercises from throughout the text. Markov Chain Monte Carlo methods are presented in an entirely new section; along with new coverage of the Markov Chain cover times. New material will also be featured on K-records values and Ignatov’s theorem. This book is a worthwhile revision of Ross’s classic text.