Stochastic Modeling

Analysis and Simulation

Nonfiction, Science & Nature, Mathematics, Mathematical Analysis
Cover of the book Stochastic Modeling by Barry L. Nelson, Dover Publications
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Author: Barry L. Nelson ISBN: 9780486139944
Publisher: Dover Publications Publication: October 11, 2012
Imprint: Dover Publications Language: English
Author: Barry L. Nelson
ISBN: 9780486139944
Publisher: Dover Publications
Publication: October 11, 2012
Imprint: Dover Publications
Language: English

A coherent introduction to the techniques for modeling dynamic stochastic systems, this volume also offers a guide to the mathematical, numerical, and simulation tools of systems analysis. Suitable for advanced undergraduates and graduate-level industrial engineers and management science majors, it proposes modeling systems in terms of their simulation, regardless of whether simulation is employed for analysis. 
Beginning with a view of the conditions that permit a mathematical-numerical analysis, the text explores Poisson and renewal processes, Markov chains in discrete and continuous time, semi-Markov processes, and queuing processes. Each chapter opens with an illustrative case study, and comprehensive presentations include formulation of models, determination of parameters, analysis, and interpretation of results. Programming language–independent algorithms appear for all simulation and numerical procedures.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

A coherent introduction to the techniques for modeling dynamic stochastic systems, this volume also offers a guide to the mathematical, numerical, and simulation tools of systems analysis. Suitable for advanced undergraduates and graduate-level industrial engineers and management science majors, it proposes modeling systems in terms of their simulation, regardless of whether simulation is employed for analysis. 
Beginning with a view of the conditions that permit a mathematical-numerical analysis, the text explores Poisson and renewal processes, Markov chains in discrete and continuous time, semi-Markov processes, and queuing processes. Each chapter opens with an illustrative case study, and comprehensive presentations include formulation of models, determination of parameters, analysis, and interpretation of results. Programming language–independent algorithms appear for all simulation and numerical procedures.

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