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This is an introductory-level text on stochastic modeling. It is suited for undergraduate or graduate students in engineering, operations research, statistics, mathematics, actuarial science, business management, computer science, and public policy. It employs a large number of examples to teach how to build stochastic models of real-life systems, analyze these models to predict their performance, and use the analysis to design and control them.
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Subjects
Stochastic processesEdition | Availability |
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1
Modeling, analysis, design, and control of stochastic system
1999, Springer
in English
0387987258 9780387987255
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Book Details
Edition Notes
Includes bibliographical references (p. [369]) and index.
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July 16, 2024 | Edited by MARC Bot | import existing book |
April 28, 2010 | Edited by Open Library Bot | Linked existing covers to the work. |
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