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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Bibliographic Details
Main Author: Ross, Sheldon M.
Format: eBook
Language: English
Published: Amsterdam : Academic Press, 2013.
Edition: Fifth edition.
Subjects:
Random variables.
Probabilities.
Computer simulation.
Digital computer simulation.
elektronické knihy
electronic books
ISBN: 0124159710
9780124159716
9780124158252
0124158250
1283696134
9781283696135
Physical Description: 1 online resource (xii, 310 pages) : illustrations

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Table of contents

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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 resource (xii, 310 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
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  |b Knovel (All titles) 
650 0 |a Random variables. 
650 0 |a Probabilities. 
650 0 |a Computer simulation. 
650 0 |a Digital 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=https://app.knovel.com/hotlink/toc/id:kpSE000016/simulation-5th-edition?kpromoter=marc  |y Full text 

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