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...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam
Academic Press
2013
|
| Ausgabe: | 5th ed |
| Schlagworte: | |
| Zusammenfassung: | "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"-- |
| Beschreibung: | xii, 310 p. ill |
Internformat
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Datensatz im Suchindex
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| any_adam_object | |
| author | Ross, Sheldon M. |
| author_facet | Ross, Sheldon M. |
| author_role | aut |
| author_sort | Ross, Sheldon M. |
| author_variant | s m r sm smr |
| building | Verbundindex |
| bvnumber | BV045253445 |
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| dewey-full | 519.2 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.2 |
| dewey-search | 519.2 |
| dewey-sort | 3519.2 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| edition | 5th ed |
| format | Electronic eBook |
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| id | DE-604.BV045253445 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:12:54Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030641421 |
| oclc_num | 818865404 |
| open_access_boolean | |
| physical | xii, 310 p. ill |
| psigel | ZDB-30-PAD |
| publishDate | 2013 |
| publishDateSearch | 2013 |
| publishDateSort | 2013 |
| publisher | Academic Press |
| record_format | marc |
| spelling | Ross, Sheldon M. Verfasser aut Simulation Sheldon M. Ross 5th ed Amsterdam Academic Press 2013 xii, 310 p. ill txt rdacontent c rdamedia cr rdacarrier "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"-- Random variables Probabilities Computer simulation Simulation (DE-588)4055072-2 gnd rswk-swf Computersimulation (DE-588)4148259-1 gnd rswk-swf Wahrscheinlichkeitsrechnung (DE-588)4064324-4 gnd rswk-swf Monte-Carlo-Simulation (DE-588)4240945-7 gnd rswk-swf Wahrscheinlichkeitsrechnung (DE-588)4064324-4 s Computersimulation (DE-588)4148259-1 s Monte-Carlo-Simulation (DE-588)4240945-7 s 1\p DE-604 Simulation (DE-588)4055072-2 s 2\p DE-604 ProQuest (Firm) Sonstige oth 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Ross, Sheldon M. Simulation Random variables Probabilities Computer simulation Simulation (DE-588)4055072-2 gnd Computersimulation (DE-588)4148259-1 gnd Wahrscheinlichkeitsrechnung (DE-588)4064324-4 gnd Monte-Carlo-Simulation (DE-588)4240945-7 gnd |
| subject_GND | (DE-588)4055072-2 (DE-588)4148259-1 (DE-588)4064324-4 (DE-588)4240945-7 |
| title | Simulation |
| title_auth | Simulation |
| title_exact_search | Simulation |
| title_full | Simulation Sheldon M. Ross |
| title_fullStr | Simulation Sheldon M. Ross |
| title_full_unstemmed | Simulation Sheldon M. Ross |
| title_short | Simulation |
| title_sort | simulation |
| topic | Random variables Probabilities Computer simulation Simulation (DE-588)4055072-2 gnd Computersimulation (DE-588)4148259-1 gnd Wahrscheinlichkeitsrechnung (DE-588)4064324-4 gnd Monte-Carlo-Simulation (DE-588)4240945-7 gnd |
| topic_facet | Random variables Probabilities Computer simulation Simulation Computersimulation Wahrscheinlichkeitsrechnung Monte-Carlo-Simulation |
| work_keys_str_mv | AT rosssheldonm simulation AT proquestfirm simulation |