Stochastic Modeling

Stochastic Modeling

Analysis & Simulation

eBook - 2012
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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. Solutions to the exercises are available upon request from the publisher at editors@doverpublications.com.
Publisher: [United States] : Dover Publications : Made available through hoopla, 2012
ISBN: 9780486139944
0486139948
Characteristics: 1 online resource
Additional Contributors: hoopla digital

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