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Stochastic Modeling

Analysis & Simulation

Barry L Nelson Pol D. Spanos

$30.95   $27.68

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English
Dover
21 April 2010
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.
By:   ,
Imprint:   Dover
Country of Publication:   United States
Dimensions:   Height: 234mm,  Width: 155mm,  Spine: 16mm
Weight:   427g
ISBN:   9780486477701
ISBN 10:   0486477703
Series:   Dover Books on Mathema 1.4tics
Pages:   321
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Unspecified
Preface 1. Why Are We Here? 2. Sample Paths 3. Basics 4. Simulation 5. Arrival-Counting Processes 6. Discrete-Time Processes 7. Continuous-Time Processes 8. Queueing Processes 9. Topics in Simulation of Stochastic Processes A Simulation Programming Examples References Index

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