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Stochastic Modeling, Analysis and Simulation

by Barry L. Nelson

ISBN-10: 9780070462137
ISBN-10: 0-07-046213-5
ISBN-13: 9780070462137
ISBN-13: 978-0-07-046213-7
Hardcover
1994-12-01
Mcgraw-Hill College


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Editorials


Book Description
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.

Reviews


A Thorough and Motivating Discussion of Stochastic Modeling
After an introductory review of basic statistics, Professor Nelson does a superb job of leading the reader to a complete understanding of Markov chains, motivated by definition and discussion of Poisson processes. The difficult topic of stationarity is treated with exceptional clarity. Additionally, the author's care in categorizing the states of Markov chains (e.g., transient, recurrent, periodic, aperiodic, etc.) is commendably superb. Each chapter begins with a practical "workaday" problem illustrating the value of the material in that chapter. Carefully graded exercise sets augment the reader's understanding of the material. Extreme care has been taken to keep the necessary detailed notations and subscripts standard, clear, and free of typographical errors.

An Excellent book that combines theory and practice
This is a book that takes you through the stochastic processes easy and step by step leading you to a greater knowledge of a complicated issue.


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