Stochastic Modeling : Analysis and Simulation
Overview
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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Details
- ISBN-13: 9780486477701
- ISBN-10: 0486477703
- Publisher: Dover Publications
- Publish Date: May 2010
- Dimensions: 9.1 x 6.1 x 0.8 inches
- Shipping Weight: 0.95 pounds
- Page Count: 336
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