Hardback 1996
ISBN: 0-41204-991-0
Readership: senior undergraduate or first-year undergraduate students in stochastic models (departments of operations research, industrial engineering, computer science, statistics and applied maths); international operations research groups within large corporations, electrical and communications engineers, and performance analysis groups in large corporations
This practical and accessible text enables students in engineering, business, operations research, public policy, and computer science to model and analyze stochastic systems. The major classes of useful stochastic processes - discrete and continuous time Markov chains, renewal processes, regenerative processes, and Markov regenerative processes - are presented, with an emphasis on modeling real-life situations with stochastic elements and analyzing the resulting stochastic model. The author provides user-friendly, yet rigorous coverage, and: follows a set pattern of development for each class of stochastic processes: transient analysis, steady-state analysis, first-passage-time analysis, and cost/reward analysis; introduces Markov chains before renewal processes so that the reader can begin modeling systems early; demonstrates both numerical and analytical solution methods in detail, giving the reader an in-depth understanding of solutions; explains queueing applications in detail in a separate chapter; includes numerous worked examples and exercises that are conveniently categorized as modeling, computational, or conceptual, making difficult concepts easy to grasp. Taking a practical approach to working with stochastic models, this book helps students to model and analyze the increasingly complex and interdependent systems made possible by recent advances.Published in English, First Published in the EU July 1995
Size: 640 pages, Dimensions: 234x156 mm 6.25x9.25 inches
US List Price: US $57.95