Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

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Bibliographic Details

Title: Modeling, Analysis, Design and Control of Stochastic Systems
Publisher: Springer
Publication Date: 2000
Language: English
ISBN 10: 0387987258
ISBN 13: 9780387987255
Binding: Hardcover
Edition: 1st Edition.
Condition: Very Good
Weight: 3.549 pounds

About this title

Synopsis

An introductory level text on stochastic modelling, suited for undergraduates or graduates in actuarial science, business management, computer science, engineering, operations research, public policy, statistics, and mathematics. It employs a large number of examples to show how to build stochastic models of physical systems, analyse these models to predict their performance, and use the analysis to design and control them. The book provides a self-contained review of the relevant topics in probability theory: In discrete and continuous time Markov models it covers the transient and long term behaviour, cost models, and first passage times; under generalised Markov models, it covers renewal processes, cumulative processes and semi-Markov processes. All the material is illustrated with many examples, and the book emphasises numerical answers to the problems. A software package called MAXIM, which runs on MATLAB, is available for downloading.

About the Author

V. G. Kulkarni is Professor of Operations Research at the University of North Carolina at Chapel Hill.

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