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Stochastic Modeling: Analysis & Simulation

Barry L. Nelson



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21 April 2010
Mathematics & Sciences; Probability & statistics; Engineering: general; Civil engineering, surveying & building
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:   Barry L. Nelson
Imprint:   Dover
Country of Publication:   United States
Dimensions:   Height: 231mm,  Width: 155mm,  Spine: 20mm
Weight:   431g
ISBN:   9780486477701
ISBN 10:   0486477703
Series:   Dover Books on Mathematics
Pages:   321
Publication Date:   21 April 2010
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Unspecified

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