Stochastic Models in Operations Research, Vol. I: Stochastic Processes and Operating Characteristics (Dover Books on Computer Science)

Heyman, Daniel P.; Sobel, Matthew J.

ISBN 10: 0486432599 ISBN 13: 9780486432595
Editore: Dover Publications, 2003
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The first of a two-volume set begins with discussions of stochastic processes, including posterity analysis, birth-and-death processes, renewal theory, renewal-reward and regenerative processes, Markov chains, continuous-time Markov chains, Markov processes, and stationery processes and ergodic theory. Its coverage of operating characteristics of stochastic systems examines system properties, networks of queues, and bounds and approximations.
This two-volume set of texts explores the central facts and ideas of stochastic processes, illustrating their use in models based on applied and theoretical investigations. They demonstrate the interdependence of three areas of study that usually receive separate treatments: stochastic processes, operating characteristics of stochastic systems, and stochastic optimization.
Comprehensive in its scope, this work emphasizes the practical importance, intellectual stimulation, and mathematical elegance of stochastic models. It is intended primarily as a graduate-level text for studies in operations research, management science, computer science, and all branches of engineering, applied mathematics, statistics, and economics.

Contenuti: 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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Titolo: Stochastic Models in Operations Research, ...
Casa editrice: Dover Publications
Data di pubblicazione: 2003
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Condizione: Good

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Heyman, Daniel P.,Sobel, Matthew J.
Editore: Dover Publications, 2003
ISBN 10: 0486432599 ISBN 13: 9780486432595
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Heyman, Daniel P.
Editore: Dover Publications, 2003
ISBN 10: 0486432599 ISBN 13: 9780486432595
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