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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.
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.
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