Optimization techniques in statistics:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston
Academic Press
©1994
|
| Schriftenreihe: | Statistical modeling and decision science
|
| Schlagworte: | |
| Online-Zugang: | FAW01 Volltext |
| Beschreibung: | Includes bibliographical references (p. 325-341) and indexes Statistics help guide us to optimal decisions under uncertainty. A large variety of statistical problems are essentially solutions to optimization problems. The mathematical techniques of optimization are fundamentalto statistical theory and practice. In this book, Jagdish Rustagi provides full-spectrum coverage of these methods, ranging from classical optimization and Lagrange multipliers, to numerical techniques using gradients or direct search, to linear, nonlinear, and dynamic programming using the Kuhn-Tucker conditions or the Pontryagin maximal principle. Variational methods and optimization in function spaces are also discussed, as are stochastic optimization in simulation, including annealing methods |
| Beschreibung: | xii, 359 pages |
| ISBN: | 0126045550 9780126045550 9781483295718 1483295710 |
Internformat
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| 245 | 1 | 0 | |a Optimization techniques in statistics |c Jagdish S. Rustagi |
| 264 | 1 | |a Boston |b Academic Press |c ©1994 | |
| 300 | |a xii, 359 pages | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Statistical modeling and decision science | |
| 500 | |a Includes bibliographical references (p. 325-341) and indexes | ||
| 500 | |a Statistics help guide us to optimal decisions under uncertainty. A large variety of statistical problems are essentially solutions to optimization problems. The mathematical techniques of optimization are fundamentalto statistical theory and practice. In this book, Jagdish Rustagi provides full-spectrum coverage of these methods, ranging from classical optimization and Lagrange multipliers, to numerical techniques using gradients or direct search, to linear, nonlinear, and dynamic programming using the Kuhn-Tucker conditions or the Pontryagin maximal principle. Variational methods and optimization in function spaces are also discussed, as are stochastic optimization in simulation, including annealing methods | ||
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| 650 | 7 | |a Mathematical optimization |2 fast | |
| 650 | 7 | |a Mathematical statistics |2 fast | |
| 650 | 7 | |a Programming (Mathematics) |2 fast | |
| 650 | 7 | |a MATHEMATICS / Applied |2 bisacsh | |
| 650 | 7 | |a MATHEMATICS / Probability & Statistics / General |2 bisacsh | |
| 650 | 4 | |a Mathematical optimization | |
| 650 | 4 | |a Mathematical statistics | |
| 650 | 4 | |a Programming (Mathematics) | |
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Datensatz im Suchindex
| _version_ | 1804177656395071488 |
|---|---|
| any_adam_object | |
| author | Rustagi, Jagdish S. |
| author_facet | Rustagi, Jagdish S. |
| author_role | aut |
| author_sort | Rustagi, Jagdish S. |
| author_variant | j s r js jsr |
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| dewey-full | 519.3 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.3 |
| dewey-search | 519.3 |
| dewey-sort | 3519.3 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Electronic eBook |
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| id | DE-604.BV044387398 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:51:33Z |
| institution | BVB |
| isbn | 0126045550 9780126045550 9781483295718 1483295710 |
| language | English |
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| physical | xii, 359 pages |
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| publishDate | 1994 |
| publishDateSearch | 1994 |
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| publisher | Academic Press |
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| series2 | Statistical modeling and decision science |
| spelling | Rustagi, Jagdish S. Verfasser aut Optimization techniques in statistics Jagdish S. Rustagi Boston Academic Press ©1994 xii, 359 pages txt rdacontent c rdamedia cr rdacarrier Statistical modeling and decision science Includes bibliographical references (p. 325-341) and indexes Statistics help guide us to optimal decisions under uncertainty. A large variety of statistical problems are essentially solutions to optimization problems. The mathematical techniques of optimization are fundamentalto statistical theory and practice. In this book, Jagdish Rustagi provides full-spectrum coverage of these methods, ranging from classical optimization and Lagrange multipliers, to numerical techniques using gradients or direct search, to linear, nonlinear, and dynamic programming using the Kuhn-Tucker conditions or the Pontryagin maximal principle. Variational methods and optimization in function spaces are also discussed, as are stochastic optimization in simulation, including annealing methods Optimaliseren gtt Statistique mathématique ram Optimierung swd Statistik swd Mathematical optimization fast Mathematical statistics fast Programming (Mathematics) fast MATHEMATICS / Applied bisacsh MATHEMATICS / Probability & Statistics / General bisacsh Mathematical optimization Mathematical statistics Programming (Mathematics) Statistik (DE-588)4056995-0 gnd rswk-swf Optimierung (DE-588)4043664-0 gnd rswk-swf Optimierung (DE-588)4043664-0 s Statistik (DE-588)4056995-0 s 1\p DE-604 http://www.sciencedirect.com/science/book/9780126045550 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Rustagi, Jagdish S. Optimization techniques in statistics Optimaliseren gtt Statistique mathématique ram Optimierung swd Statistik swd Mathematical optimization fast Mathematical statistics fast Programming (Mathematics) fast MATHEMATICS / Applied bisacsh MATHEMATICS / Probability & Statistics / General bisacsh Mathematical optimization Mathematical statistics Programming (Mathematics) Statistik (DE-588)4056995-0 gnd Optimierung (DE-588)4043664-0 gnd |
| subject_GND | (DE-588)4056995-0 (DE-588)4043664-0 |
| title | Optimization techniques in statistics |
| title_auth | Optimization techniques in statistics |
| title_exact_search | Optimization techniques in statistics |
| title_full | Optimization techniques in statistics Jagdish S. Rustagi |
| title_fullStr | Optimization techniques in statistics Jagdish S. Rustagi |
| title_full_unstemmed | Optimization techniques in statistics Jagdish S. Rustagi |
| title_short | Optimization techniques in statistics |
| title_sort | optimization techniques in statistics |
| topic | Optimaliseren gtt Statistique mathématique ram Optimierung swd Statistik swd Mathematical optimization fast Mathematical statistics fast Programming (Mathematics) fast MATHEMATICS / Applied bisacsh MATHEMATICS / Probability & Statistics / General bisacsh Mathematical optimization Mathematical statistics Programming (Mathematics) Statistik (DE-588)4056995-0 gnd Optimierung (DE-588)4043664-0 gnd |
| topic_facet | Optimaliseren Statistique mathématique Optimierung Statistik Mathematical optimization Mathematical statistics Programming (Mathematics) MATHEMATICS / Applied MATHEMATICS / Probability & Statistics / General |
| url | http://www.sciencedirect.com/science/book/9780126045550 |
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