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Simulation
Title:
Simulation
Author:
Ross, Sheldon M.
Personal Author:
Edition:
5th ed.
Publication Information:
Amsterdam : Academic Press, 2013.
Physical Description:
xii, 310 p. : ill.
Contents:
Machine generated contents note: Preface; Introduction; Elements of Probability; Random Numbers; Generating Discrete Random Variables; Generating Continuous Random Variables; The Discrete Event Simulation Approach; Statistical Analysis of Simulated Data; Variance Reduction Techniques; Statistical Validation Techniques; Markov Chain Monte Carlo Methods; Some Additional Topics; Exercises; References; Index.
Abstract:
"In formulating a stochastic model to describe a real phenomenon, it used to be that one compromised between choosing a model that is a realistic replica of the actual situation and choosing one whose mathematical analysis is tractable. That is, there did not seem to be any payoff in choosing a model that faithfully conformed to the phenomenon under study if it were not possible to mathematically analyze that model. Similar considerations have led to the concentration on asymptotic or steady-state results as opposed to the more useful ones on transient time. However, the relatively recent advent of fast and inexpensive computational power has opened up another approach--namely, to try to model the phenomenon as faithfully as possible and then to rely on a simulation study to analyze it"-- Provided by publisher.
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Shelf Number | Item Barcode | Shelf Location | Status |
|---|---|---|---|
| QA273 .R82 2013 | 1002569-1001 | Ebook Central | Searching... |
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