Stochastic models:
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Amsterdam
North-Holland
1990
|
| Schriftenreihe: | Handbooks in operations research and management science
v. 2 |
| Schlagworte: | |
| Online-Zugang: | FAW01 Volltext |
| Beschreibung: | One of the central problems in operations research and management science is how to quantify the effects of uncertainty about the future. This, the second volume in a series of handbooks, is devoted to models where chance events play a major role. The thirteen chapters survey topics in applied probability that have been particularly useful in operations research and management science. Each chapter was written by an expert, both in subject matter and in its exposition. The chapters fall into four groups. The first four cover the fundamentals of stochastic processes, and lay the foundation for the following chapters. The next three chapters are concerned with methods of getting numbers. This includes numerical solution of models, parameter estimation for models, and simulation of models. Chapters 8 and 9 describe the fundamentals of dynamic optimization. The last four chapters are concerned with the most important structured models in operations research and management science; queues, queueing networks, inventories, and reliability Includes bibliographical references and index |
| Beschreibung: | xv, 723 pages |
| ISBN: | 9780444874733 0444874739 9780444599247 044459924X 0444887059 |
Internformat
MARC
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| 490 | 0 | |a Handbooks in operations research and management science |v v. 2 | |
| 500 | |a One of the central problems in operations research and management science is how to quantify the effects of uncertainty about the future. This, the second volume in a series of handbooks, is devoted to models where chance events play a major role. The thirteen chapters survey topics in applied probability that have been particularly useful in operations research and management science. Each chapter was written by an expert, both in subject matter and in its exposition. The chapters fall into four groups. The first four cover the fundamentals of stochastic processes, and lay the foundation for the following chapters. The next three chapters are concerned with methods of getting numbers. This includes numerical solution of models, parameter estimation for models, and simulation of models. Chapters 8 and 9 describe the fundamentals of dynamic optimization. The last four chapters are concerned with the most important structured models in operations research and management science; queues, queueing networks, inventories, and reliability | ||
| 500 | |a Includes bibliographical references and index | ||
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| 650 | 4 | |a théorie file attente | |
| 650 | 4 | |a processus décision | |
| 650 | 4 | |a méthode statistique | |
| 650 | 4 | |a théorie probabilité | |
| 650 | 4 | |a marche aléatoire | |
| 650 | 4 | |a martingale | |
| 650 | 4 | |a processus Markov | |
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Datensatz im Suchindex
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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 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:51:33Z |
| institution | BVB |
| isbn | 9780444874733 0444874739 9780444599247 044459924X 0444887059 |
| language | English |
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| owner_facet | DE-1046 |
| physical | xv, 723 pages |
| psigel | ZDB-33-ESD ZDB-33-ESD FAW_PDA_ESD |
| publishDate | 1990 |
| publishDateSearch | 1990 |
| publishDateSort | 1990 |
| publisher | North-Holland |
| record_format | marc |
| series2 | Handbooks in operations research and management science |
| spelling | Stochastic models edited by D.P. Heyman, M.J. Sobel Amsterdam North-Holland 1990 xv, 723 pages txt rdacontent c rdamedia cr rdacarrier Handbooks in operations research and management science v. 2 One of the central problems in operations research and management science is how to quantify the effects of uncertainty about the future. This, the second volume in a series of handbooks, is devoted to models where chance events play a major role. The thirteen chapters survey topics in applied probability that have been particularly useful in operations research and management science. Each chapter was written by an expert, both in subject matter and in its exposition. The chapters fall into four groups. The first four cover the fundamentals of stochastic processes, and lay the foundation for the following chapters. The next three chapters are concerned with methods of getting numbers. This includes numerical solution of models, parameter estimation for models, and simulation of models. Chapters 8 and 9 describe the fundamentals of dynamic optimization. The last four chapters are concerned with the most important structured models in operations research and management science; queues, queueing networks, inventories, and reliability Includes bibliographical references and index réseau file attente théorie file attente processus décision méthode statistique théorie probabilité marche aléatoire martingale processus Markov processus stochastique modèle stochastique Processus stochastiques MATHEMATICS / Probability & Statistics / General bisacsh Stochastic processes fast Processus stochastiques ram Stochastic processes Stochastischer Prozess (DE-588)4057630-9 gnd rswk-swf Stochastisches Modell (DE-588)4057633-4 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Stochastisches Modell (DE-588)4057633-4 s 2\p DE-604 Stochastischer Prozess (DE-588)4057630-9 s 3\p DE-604 Heyman, Daniel P. Sonstige oth Sobel, Matthew J. Sonstige oth http://www.sciencedirect.com/science/handbooks/09270507/2 Verlag URL des Erstveröffentlichers Volltext 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 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Stochastic models réseau file attente théorie file attente processus décision méthode statistique théorie probabilité marche aléatoire martingale processus Markov processus stochastique modèle stochastique Processus stochastiques MATHEMATICS / Probability & Statistics / General bisacsh Stochastic processes fast Processus stochastiques ram Stochastic processes Stochastischer Prozess (DE-588)4057630-9 gnd Stochastisches Modell (DE-588)4057633-4 gnd |
| subject_GND | (DE-588)4057630-9 (DE-588)4057633-4 (DE-588)4143413-4 |
| title | Stochastic models |
| title_auth | Stochastic models |
| title_exact_search | Stochastic models |
| title_full | Stochastic models edited by D.P. Heyman, M.J. Sobel |
| title_fullStr | Stochastic models edited by D.P. Heyman, M.J. Sobel |
| title_full_unstemmed | Stochastic models edited by D.P. Heyman, M.J. Sobel |
| title_short | Stochastic models |
| title_sort | stochastic models |
| topic | réseau file attente théorie file attente processus décision méthode statistique théorie probabilité marche aléatoire martingale processus Markov processus stochastique modèle stochastique Processus stochastiques MATHEMATICS / Probability & Statistics / General bisacsh Stochastic processes fast Processus stochastiques ram Stochastic processes Stochastischer Prozess (DE-588)4057630-9 gnd Stochastisches Modell (DE-588)4057633-4 gnd |
| topic_facet | réseau file attente théorie file attente processus décision méthode statistique théorie probabilité marche aléatoire martingale processus Markov processus stochastique modèle stochastique Processus stochastiques MATHEMATICS / Probability & Statistics / General Stochastic processes Stochastischer Prozess Stochastisches Modell Aufsatzsammlung |
| url | http://www.sciencedirect.com/science/handbooks/09270507/2 |
| work_keys_str_mv | AT heymandanielp stochasticmodels AT sobelmatthewj stochasticmodels |