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Stochastic Models in Operations Research, Vol. I: Stochastic Processes and Operating Characteristics by Daniel P. Heyman,Matthew J. Sobel ISBN: 0486432599 Dover Publications Price: $29.95 click here to see this book This volume of a 2-volume set explores the central facts and ideas of stochastic processes, illustrating their use in models based on applied and theoretical investigations. Explores stochastic processes, operating characteristics of stochastic systems, and stochastic optimization. Comprehensive in its scope, this graduate-level text emphasizes the practical importance, intellectual stimulation, and mathematical elegance of stochastic models. Unabridged republication of the edition published by McGraw-Hill Book Company, New York, Volume 1, 1982. Table of Contents for Stochastic Models in Operations Research, Vol. I: Stochastic Processes and Operating Characteristics Preface 1. Introduction Part A. Stochastic Processes and Models 2. Posterity Analysis 3. Prologue to Stochastic Processes 4. Birth-and-Death Processes 5. Renewal Theory 6. Renewal-Reward and Regenerative Processes 7. Markov Chains 8. Continuous-Time Markov Chains 9. Markov Processes 10. Stationary Processes and Ergodic Theory Part B. Operating Characteristics of Stochastic Systems 11. System Properties 12. Networks of Queues 13. Bounds and Approximations 62 Figures. 8 Tables. Appendix. Indexes.

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