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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| Main Author | |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Amsterdam :
Academic Press,
2013.
|
| Edition | Fifth edition. |
| Subjects | |
| Online Access | Full text |
| ISBN | 9780124159716 9780124158252 |
| Physical Description | 1 online zdroj (xii, 310 pages) : illustrations |
Cover
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| 100 | 1 | |a Ross, Sheldon M. | |
| 245 | 1 | 0 | |a Simulation / |c Sheldon M. Ross, Epstein Department of Industrial and Systems Engineering, University of Southern California. |
| 250 | |a Fifth edition. | ||
| 264 | 1 | |a Amsterdam : |b Academic Press, |c 2013. | |
| 300 | |a 1 online zdroj (xii, 310 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a počítač |b c |2 rdamedia | ||
| 338 | |a online zdroj |b cr |2 rdacarrier | ||
| 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. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Elements of probability -- Random numbers -- Generating discrete random variables -- Generating continuous random variables -- The multivariate normal distribution and copulas -- The discrete event simulation approach -- Statistical analysis of simulated data -- Variance reduction techniques -- Additional variance reduction techniques -- Statistical validation techniques -- Markov chain Monte Carlo methods. | |
| 590 | |a Knovel Library |b ACADEMIC - General Engineering & Project Administration | ||
| 506 | |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty univerzity | ||
| 650 | 0 | |a Random variables. | |
| 650 | 0 | |a Probabilities. | |
| 650 | 0 | |a Computer simulation. | |
| 655 | 7 | |a elektronické knihy |7 fd186907 |2 czenas | |
| 655 | 9 | |a electronic books |2 eczenas | |
| 776 | 0 | 8 | |i Print version: |a Ross, Sheldon M. |t Simulation. |b Fifth edition |z 9780124158252 |w (DLC) 2012027466 |w (OCoLC)741548323 |
| 856 | 4 | 0 | |u https://proxy.k.utb.cz/login?url=http://app.knovel.com/hotlink/toc/id:kpSE000016/simulation_5th_edition |
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| 993 | |x NEPOSILAT |y EIZ | ||