| 000 | 02389cam a2200349 i 4500 | ||
|---|---|---|---|
| 999 |
_c8691 _d8691 |
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| 001 | 17451335 | ||
| 005 | 20170415094022.0 | ||
| 008 | 120904s2013 ne a b 001 0 eng | ||
| 010 | _a 2012027466 | ||
| 020 | _a9780124158252 (hardback) | ||
| 040 |
_aDLC _beng _cDLC _erda _dDLC |
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| 042 | _apcc | ||
| 050 | 0 | 0 |
_aQA273 _b.R82 2013 |
| 082 | 0 | 0 |
_a519.2 _223 |
| 100 | 1 | _aRoss, Sheldon M. | |
| 245 | 1 | 0 |
_aSimulation / _cSheldon M. Ross, Epstein Department of Industrial and Systems Engineering, University of Southern California. |
| 250 | _aFifth edition. | ||
| 264 | 1 |
_aAmsterdam : _bAcademic Press, _c2013. |
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| 300 |
_axii, 310 pages : _billustrations ; _c24 cm |
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| 336 |
_atext _2rdacontent |
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| 337 |
_aunmediated _2rdamedia |
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| 338 |
_avolume _2rdacarrier |
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| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 8 | _aMachine 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"-- | ||
| 650 | 0 | _aRandom variables. | |
| 650 | 0 | _aProbabilities. | |
| 650 | 0 | _aComputer simulation. | |
| 906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
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| 942 |
_2ddc _cBK |
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