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Simulation /
Simulation, Sixth Edition continues to introduce aspiring and practicing actuaries, engineers, computer scientists and others to the practical aspects of constructing computerized simulation studies to analyze and interpret real phenomena. Readers will learn to apply the results of these analyses to...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London, United Kingdom :
Academic Press,
[2023].
|
| Edición: | Sixth edition. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Ross, Sheldon M.,author. | |
| 245 | 1 | 0 | |a Simulation / |c Sheldon M. Ross, Epstein Department of Industrial and Systems Engineering, University of Southern California. |
| 250 | |a Sixth edition. | ||
| 264 | 1 | |a London, United Kingdom : |b Academic Press, |c [2023]. | |
| 300 | |a 1 online resource | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 520 | |a Simulation, Sixth Edition continues to introduce aspiring and practicing actuaries, engineers, computer scientists and others to the practical aspects of constructing computerized simulation studies to analyze and interpret real phenomena. Readers will learn to apply the results of these analyses to problems in a wide variety of fields to obtain effective, accurate solutions and make predictions. By explaining how a computer can be used to generate random numbers and how to use these random numbers to generate the behavior of a stochastic model over time, this book presents the statistics needed to analyze simulated data and validate simulation models. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a 1 : Introduction -- 2 : Elements of probability -- 3 : Random numbers -- 4 : Generating discrete random variables -- 5 : Generating continuous random variables -- 6 : The multivariate normal distribution and copulas -- 7 : The discrete event simulation approach -- 8 : Statistical analysis of simulated data -- 9 : Variance reduction techniques -- 10 : Additional variance reduction techniques -- 11 : Statistical validation techniques -- 12 : Markov chain Monte Carlo methods | |
| 650 | 0 | |a Random variables. | |
| 650 | 0 | |a Probabilities. | |
| 650 | 0 | |a Computer simulation. | |
| 650 | 6 | |a Variables al�eatoires. |0 (CaQQLa)201-0066670 | |
| 650 | 6 | |a Probabilit�es. |0 (CaQQLa)201-0011592 | |
| 650 | 6 | |a Simulation par ordinateur. |0 (CaQQLa)201-0016791 | |
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| 650 | 7 | |a Probabilities |2 fast |0 (OCoLC)fst01077737 | |
| 650 | 7 | |a Random variables |2 fast |0 (OCoLC)fst01089812 | |
| 776 | 0 | 8 | |c Original |z 9780323857390 |z 0323857396 |w (DLC) 2023385132 |w (OCoLC)1346308797 |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780323857390 |z Texto completo |