Simulation
"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...
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| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Amsterdam :
Academic Press,
2013.
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| Edition: | 5th ed. |
| Subjects: | |
| Online Access: | An electronic book accessible through the World Wide Web; click to view |
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| 001 | ebr10614091 | ||
| 003 | CaPaEBR | ||
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| 007 | cr cn||||||||| | ||
| 008 | 120904s2013 ne a sb 001 0 eng d | ||
| 010 | |z 2012027466 | ||
| 020 | |z 9780124158252 (hardback) | ||
| 020 | |z 9780124159716 (e-book) | ||
| 040 | |a CaPaEBR |c CaPaEBR | ||
| 035 | |a (OCoLC)818733978 | ||
| 050 | 1 | 4 | |a QA273 |b .R82 2013eb |
| 082 | 0 | 4 | |a 519.2 |2 23 |
| 100 | 1 | |a Ross, Sheldon M. | |
| 245 | 1 | 0 | |a Simulation |h [electronic resource] / |c Sheldon M. Ross. |
| 250 | |a 5th ed. | ||
| 260 | |a Amsterdam : |b Academic Press, |c 2013. | ||
| 300 | |a xii, 310 p. : |b ill. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 8 | |a 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. | |
| 520 | |a "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"-- |c Provided by publisher. | ||
| 533 | |a Electronic reproduction. |b Palo Alto, Calif. : |c ebrary, |d 2011. |n Available via World Wide Web. |n Access may be limited to ebrary affiliated libraries. | ||
| 650 | 0 | |a Random variables. | |
| 650 | 0 | |a Probabilities. | |
| 650 | 0 | |a Computer simulation. | |
| 655 | 7 | |a Electronic books. |2 local | |
| 710 | 2 | |a ebrary, Inc. | |
| 856 | 4 | 0 | |u http://site.ebrary.com/lib/daystar/Doc?id=10614091 |z An electronic book accessible through the World Wide Web; click to view |
| 999 | |c 197358 |d 197358 | ||