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Stochastic Modeling: Analysis & Simulation

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Stochastic Modeling: Analysis & Simulation Cover

 

Synopses & Reviews

Publisher Comments:

This coherent introduction to the techniques employed for modeling dynamic, stochastic systems also provides a guide to the mathematical, numerical and simulation tools used in systems analysis. The text explores Poisson and renewal processes, Markov chains in discrete and continuous time, semi-Markov processes, and queuing processes. Chapters open with an illustrative case study, and comprehensive presentations include formulation of models, determination of parameters, analysis, and interpretation of results. 1995 ed. Appendix. References. Index.

Book News Annotation:

A guide to the mathematical, numerical, and simulation tools used in systems analysis, this book also introduces the techniques employed for modeling dynamic, stochastic systems that occur in areas such as inventory control and capacity planning, hospital staffing, stock portfolio management, and product-distribution logistics. Nelson teaches industrial engineering and management sciences at Northwestern University. This is an unabridged republication of the work originally published by McGraw-Hill, Inc., New York, in 1995. Annotation (c)2003 Book News, Inc., Portland, OR (booknews.com)

Synopsis:

This introduction to techniques for modeling dynamic stochastic systems also provides a guide to the mathematical, numerical, and simulation tools used in systems analysis. Solution manual available upon request. 1995 edition.

Synopsis:

This introduction to techniques for modeling dynamic stochastic systems also provides a guide to the mathematical, numerical, and simulation tools used in systems analysis. Solution manual available upon request. 1995 edition.

Synopsis:

This introduction to techniques for modeling dynamic stochastic systems also provides a guide to the mathematical, numerical, and simulation tools used in systems analysis. The text explores Poisson and renewal processes, Markov chains in discrete and continuous time, semi-Markov processes, and queuing processes. Solution manual available upon request. 1995 edition.

Product Details

ISBN:
9780486425696
Subtitle:
Simulation
Author:
Nelson, Barry L.
Author:
Nelson, Barry L.
Publisher:
Dover Publications
Location:
Mineloa, N.Y.
Subject:
General
Subject:
Engineering - Civil
Subject:
Stochastic processes
Subject:
Probability & Statistics - General
Subject:
Civil
Copyright:
Edition Description:
Trade Paper
Series Volume:
no. 1
Publication Date:
20030204
Binding:
Paperback
Language:
English
Illustrations:
Yes
Pages:
336
Dimensions:
9.25 x 6.13 in 0.96 lb

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Related Subjects

Engineering » Engineering » General Engineering
Science and Mathematics » Mathematics » Advanced

Stochastic Modeling: Analysis & Simulation Used Trade Paper
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Product details 336 pages Dover Publications - English 9780486425696 Reviews:
"Synopsis" by ,
This introduction to techniques for modeling dynamic stochastic systems also provides a guide to the mathematical, numerical, and simulation tools used in systems analysis. Solution manual available upon request. 1995 edition.
"Synopsis" by , This introduction to techniques for modeling dynamic stochastic systems also provides a guide to the mathematical, numerical, and simulation tools used in systems analysis. Solution manual available upon request. 1995 edition.
"Synopsis" by ,
This introduction to techniques for modeling dynamic stochastic systems also provides a guide to the mathematical, numerical, and simulation tools used in systems analysis. The text explores Poisson and renewal processes, Markov chains in discrete and continuous time, semi-Markov processes, and queuing processes. Solution manual available upon request. 1995 edition.
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