


Probability, Markov Chains, Queues, and Simulation: 
Probability, Markov Chains, Queues, and Simulation provides a modern and authoritative treatment of the mathematical processes that underlie performance modeling. The detailed explanations of mathematical derivations and numerous illustrative examples make this textbook readily accessible to graduate and advanced undergraduate students taking courses in which stochastic processes play a fundamental role. The textbook is relevant to a wide variety of fields, including computer science, engineering, operations research, statistics, and mathematics. The textbook looks at the fundamentals of probability theory, from the basic concepts of setbased probability, through probability distributions, to bounds, limit theorems, and the laws of large numbers. Discrete and continuoustime Markov chains are analyzed from a theoretical and computational point of view. Topics include the ChapmanKolmogorov equations; irreducibility; the potential, fundamental, and reachability matrices; random walk problems; reversibility; renewal processes; and the numerical computation of stationary and transient distributions. The M/M/1 queue and its extensions to more general birthdeath processes are analyzed in detail, as are queues with phasetype arrival and service processes. The M/G/1 and G/M/1 queues are solved using embedded Markov chains; the busy period, residual service time, and priority scheduling are treated. Open and closed queueing networks are analyzed. The final part of the book addresses the mathematical basis of simulation. Each chapter of the textbook concludes with an extensive set of exercises. An instructor's solution manual, in which all exercises are completely worked out, is also available (to professors only).
Professors: A supplementary Solutions Manual is available for this book. It is restricted to teachers using the text in courses. For information on how to obtain a copy, refer to: http://press.princeton.edu/class_use/solutions.html "The book represents a valuable text for courses in statistics and stochastic processes, so it is strongly recommended to libraries."Hassan S. Bakouch, Journal of Applied Statistics Endorsement: "This is an excellent book on the topics of probability, Markov chains, and queuing theory. Extremely wellwritten, the contents range from elementary topics to quite advanced material and include plenty of wellchosen examples."Adarsh Sethi, University of Delaware "Clear and pleasant to read, this book distinguishes itself from comparable textbooks by its inclusion of the computational aspects of the material."Richard R. Muntz, University of California, Los Angeles Another Princeton book authored or coauthored by William J. Stewart: Link: Subject Areas:  
 
 
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