STOCHASTIC MODELS HORM2
- D.P. Heyman, Bell Communications Research, Red Bank, USA
- M.J. Sobel, State University of New York At Stony Brook, USA
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.View full description
- Published: July 1990
- Imprint: NORTH-HOLLAND
- ISBN: 978-0-444-87473-3
This book is strongly recommended; it is an important and valuable addition to the literature.
Short Book Reviews
....an excellent reference book for everyone who works in the field of applied probability theory.European Journal of Operational Research
This is a fine book ... The book belongs on every bookshelf of those interested in stochastic modeling.Stochastics and Stochastics Reports
Table of ContentsPoint 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.