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Stochastic Models - 1st Edition - ISBN: 9780444874733, 9780080933733

Stochastic Models, Volume 2

1st Edition

Serial Volume Editors: D.P. Heyman M.J. Sobel
Hardcover ISBN: 9780444874733
eBook ISBN: 9780080933733
Imprint: North Holland
Published Date: 20th July 1990
Page Count: 736
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Table of Contents

Point Processes (R.F. Serfozo). Markov Processes (A.F. Karr). Martingales and Random Walks (H.M. Taylor). Diffusion Approximations (P.W. Glynn). Computational Methods in Probability Theory (W.K. Grassmann). Statistical Methods (J. Lehoczky). Simulation Experiments (B. Schmeiser). Markov Decision Processes (M.L. Puterman). Controlled Continuous-Time Markov Processes (R. Rishel). Queueing Theory (R.B. Cooper). Queueing Networks (J. Walrand). Stochastic Inventory Theory (E.L. Porteus). Reliability and Maintainability (M. Shaked, J.G. Shanthikumar). Subject Index.


One of the central problems in operations research and management science is how to quantify the effects of uncertainty about the future. This, the second volume in a series of handbooks, is devoted to models where chance events play a major role. The thirteen chapters survey topics in applied probability that have been particularly useful in operations research and management science. Each chapter was written by an expert, both in subject matter and in its exposition.

The chapters fall into four groups. The first four cover the fundamentals of stochastic processes, and lay the foundation for the following chapters. The next three chapters are concerned with methods of getting numbers. This includes numerical solution of models, parameter estimation for models, and simulation of models. Chapters 8 and 9 describe the fundamentals of dynamic optimization. The last four chapters are concerned with the most important structured models in operations research and management science; queues, queueing networks, inventories, and reliability.


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© North Holland 1990
20th July 1990
North Holland
Hardcover ISBN:
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About the Serial Volume Editors

D.P. Heyman

Affiliations and Expertise

Bell Communications Research, Red Bank, USA

M.J. Sobel

Affiliations and Expertise

State University of New York At Stony Brook, USA