The Seventh Edition of Ross' Intorduction to Probability Models represents the continuing convergence of this best-selling book with the widening indispensability of probability in pure and applied science.Revised and updated, Introduction to Probability Models is particularly well suited to those seeking an understanding of how probability theory and stochastic processes apply to phenomena in such fields as engineering, management science, the physical and social sciences, and operations research.While retaining its focus on elementary probability and stochastic processes, this edition's significant revisions include:* Nearly 600 new or updated exercises, with over 100 solutions provided* New derivations for the Poisson and nonhomogeneous Poisson processes* Optimization of a single server, general service time queue* Analysis of a series structure reliability model in which components enter a state of suspended animation upon cohort failureSheldon M. Ross has published numerous textbooks and technical articles in the areas of statistics and applied probability. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences, published by Cambridge University Press. He is a fellow of the Institute of Mathematical Statistics and a recipient of the Humboldt U.S. Senior Scientist Award.