Title: Stochastic Models (Volume 2) (Handbooks in Operations Research and Management Science, Volume 2) [Hardcover] Heyman, D.P. and Sobel, M.J.
Publisher: North Holland
Publication Date: 1990
Language: English
ISBN 10: 0444874739
ISBN 13: 9780444874733
Binding: Hardcover
Condition: Brand New

About this title

Synopsis

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.

Review

....an excellent reference book for everyone who works in the field of applied probability theory. -- European Journal of Operational Research

This book is strongly recommended; it is an important and valuable addition to the literature. -- Short Book Reviews

This book is strongly recommended; it is an important and valuable addition to the literature. -- Short Book Reviews

This is a fine book ... The book belongs on every bookshelf of those interested in stochastic modeling. -- Stochastics and Stochastics Reports

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