Stochastic Models in Operations Res by Matthew Jsobel And Danie

Stochastic Models in Operations Res by Matthew Jsobel And Danie

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.

SKU	Unavailable
ISBN 13	9780486432595
ISBN 10	0486432599
Title	Stochastic Models in Operations Res
Author	Matthew Jsobel And Danie
Series	Dover Books On Computer Science
Condition	Unavailable
Binding Type	Paperback
Publisher	Dover Publications Inc.
Year published	2003-12-10
Number of pages	560
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.