Simulation / Sheldon M. Ross.
"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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| Year of Publication: | 2013 |
| Edition: | 5th ed. |
| Language: | English |
| Online Access: | |
| Physical Description: | xii, 310 p. :; ill. |
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| Summary: | "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"-- |
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| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9780124158252 (hardback) 9780124159716 (electronic bk.) |
| Hierarchical level: | Monograph |
| Statement of Responsibility: | Sheldon M. Ross. |