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Modeling, analysis, design, and control of stochastic system
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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 …
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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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"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 …"
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