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Bibliographic Details

Title: Stochastic Modeling, Analysis and Simulation
Publisher: McGraw-Hill College (edition )
Publication Date: 1995
Language: English
ISBN 10: 0070462135
ISBN 13: 9780070462137
Binding: Hardcover
Condition: Very Good

About this title

Synopsis

This modern text is the first to unify stochastic modeling, analysis, and simulation, using the discrete event-sample-path view. The objective is to formulate models of dynamic stochastic systems in terms of systems inputs and logic, using the power of simulation. Markovian processes are emphasized. Examples will be coded in SLAM, SIMAN, Fortran, and C. Intended for courses in operations research, I.E. and management science.

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