Stochastic Modeling: Analysis and Simulation
Barry L. Nelson$16.96
$19.95
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.
Binding Type: Paperback
Publisher: Dover Publications
Published: 05/20/2010
ISBN: 9780486477701
Pages: 321
Weight: 0.95lbs
Size: 9.10h x 6.10w x 0.80d
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.
Binding Type: Paperback
Publisher: Dover Publications
Published: 05/20/2010
ISBN: 9780486477701
Pages: 321
Weight: 0.95lbs
Size: 9.10h x 6.10w x 0.80d