| 000 | 02348cam a2200349 i 4500 | ||
|---|---|---|---|
| 001 | 17451335 | ||
| 003 | EG-ScBUE | ||
| 005 | 20241109110913.0 | ||
| 008 | 120904s2013 caua f b 001 0 eng d | ||
| 020 | _a 0124158250 (hardback) | ||
| 020 | _a9780124158252 (hardback) | ||
| 040 |
_aDLC _beng _erda _cDLC _dEG-ScBUE |
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| 082 | 0 | 4 |
_a519.2 _222 _bROS |
| 100 | 1 |
_aRoss, Sheldon M., _eauthor. _97348 |
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| 245 | 1 | 0 |
_aSimulation / _cSheldon M. Ross, Epstein Department of Industrial and Systems Engineering, University of Southern California. |
| 250 | _aFifth edition. | ||
| 264 | 1 |
_aSan Diego, CA : _bAcademic Press / Elsevier, _c2013. |
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| 300 |
_axii, 310 pages : _billustrations ; _c24 cm |
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| 336 |
_2rdacontent _atext _btxt |
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| 337 |
_2rdamedia _aunmediated _bn |
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| 338 |
_2rdacarrier _avolume _bnc |
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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 | 7 |
_aRandom variables. _2BUEsh _918426 |
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| 650 | 7 |
_aProbabilities. _2BUEsh _93494 |
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| 650 | 7 |
_aComputer simulation. _2BUEsh |
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| 651 | _2BUEsh | ||
| 653 |
_bCOMSCI _cAugust2015 |
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| 655 | _vReading book | ||
| 942 |
_2ddc _cBB |
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| 999 |
_c20521 _d20493 |
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