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Simulation: A Statistical Perspective

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Combines simulation theory and statistical theory with practical applications. Shows how certain problems in the areas of management science, operational research, economics, business administration and mathematical statistics can be analyzed by means of simulation. Includes many examples of different types of simulation, an introduction to Forrester's Industrial Dynamics or System Dynamics, and the evaluation of pseudorandom number generation. Also discusses the application of simulation in mathematical statistics and operational research, with particular reference to inventory and queuing systems.

252 pages, Paperback

First published October 1, 1992

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