Statistical Decision Theory: Foundations, Concepts, and Methods
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
1980
|
| Schriftenreihe: | Springer Series in Statistics
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Decision theory is generally taught in one of two very different ways. When of opti taught by theoretical statisticians, it tends to be presented as a set of mathematical techniques mality principles, together with a collection of various statistical procedures. When useful in establishing the optimality taught by applied decision theorists, it is usually a course in Bayesian analysis, showing how this one decision principle can be applied in various practical situations. The original goal I had in writing this book was to find some middle ground. I wanted a book which discussed the more theoretical ideas and techniques of decision theory, but in a manner that was constantly oriented towards solving statistical problems. In particular, it seemed crucial to include a discussion of when and why the various decision prin ciples should be used, and indeed why decision theory is needed at all. This original goal seemed indicated by my philosophical position at the time, which can best be described as basically neutral. I felt that no one approach to decision theory (or statistics) was clearly superior to the others, and so planned a rather low key and impartial presentation of the competing ideas. In the course of writing the book, however, I turned into a rabid Bayesian. There was no single cause for this conversion; just a gradual realization that things seemed to ultimately make sense only when looked at from the Bayesian viewpoint |
| Beschreibung: | 1 Online-Ressource (XV, 428 p) |
| ISBN: | 9781475717273 9781475717297 |
| ISSN: | 0172-7397 |
| DOI: | 10.1007/978-1-4757-1727-3 |
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Datensatz im Suchindex
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| any_adam_object | |
| author | Berger, James O. |
| author_facet | Berger, James O. |
| author_role | aut |
| author_sort | Berger, James O. |
| author_variant | j o b jo job |
| building | Verbundindex |
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| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5 |
| dewey-search | 519.5 |
| dewey-sort | 3519.5 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-1-4757-1727-3 |
| format | Electronic eBook |
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| id | DE-604.BV042421272 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:08Z |
| institution | BVB |
| isbn | 9781475717273 9781475717297 |
| issn | 0172-7397 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027856689 |
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| physical | 1 Online-Ressource (XV, 428 p) |
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| spelling | Berger, James O. Verfasser aut Statistical Decision Theory Foundations, Concepts, and Methods by James O. Berger New York, NY Springer New York 1980 1 Online-Ressource (XV, 428 p) txt rdacontent c rdamedia cr rdacarrier Springer Series in Statistics 0172-7397 Decision theory is generally taught in one of two very different ways. When of opti taught by theoretical statisticians, it tends to be presented as a set of mathematical techniques mality principles, together with a collection of various statistical procedures. When useful in establishing the optimality taught by applied decision theorists, it is usually a course in Bayesian analysis, showing how this one decision principle can be applied in various practical situations. The original goal I had in writing this book was to find some middle ground. I wanted a book which discussed the more theoretical ideas and techniques of decision theory, but in a manner that was constantly oriented towards solving statistical problems. In particular, it seemed crucial to include a discussion of when and why the various decision prin ciples should be used, and indeed why decision theory is needed at all. This original goal seemed indicated by my philosophical position at the time, which can best be described as basically neutral. I felt that no one approach to decision theory (or statistics) was clearly superior to the others, and so planned a rather low key and impartial presentation of the competing ideas. In the course of writing the book, however, I turned into a rabid Bayesian. There was no single cause for this conversion; just a gradual realization that things seemed to ultimately make sense only when looked at from the Bayesian viewpoint Statistics Statistics, general Statistik Bayes-Verfahren (DE-588)4204326-8 gnd rswk-swf Entscheidungstheorie (DE-588)4138606-1 gnd rswk-swf Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd rswk-swf Statistische Entscheidungstheorie (DE-588)4077850-2 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Statistische Entscheidungstheorie (DE-588)4077850-2 s Bayes-Verfahren (DE-588)4204326-8 s 1\p DE-604 Entscheidungstheorie (DE-588)4138606-1 s 2\p DE-604 Statistik (DE-588)4056995-0 s 3\p DE-604 Bayes-Entscheidungstheorie (DE-588)4144220-9 s 4\p DE-604 https://doi.org/10.1007/978-1-4757-1727-3 Verlag 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 4\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Berger, James O. Statistical Decision Theory Foundations, Concepts, and Methods Statistics Statistics, general Statistik Bayes-Verfahren (DE-588)4204326-8 gnd Entscheidungstheorie (DE-588)4138606-1 gnd Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd Statistische Entscheidungstheorie (DE-588)4077850-2 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4204326-8 (DE-588)4138606-1 (DE-588)4144220-9 (DE-588)4077850-2 (DE-588)4056995-0 |
| title | Statistical Decision Theory Foundations, Concepts, and Methods |
| title_auth | Statistical Decision Theory Foundations, Concepts, and Methods |
| title_exact_search | Statistical Decision Theory Foundations, Concepts, and Methods |
| title_full | Statistical Decision Theory Foundations, Concepts, and Methods by James O. Berger |
| title_fullStr | Statistical Decision Theory Foundations, Concepts, and Methods by James O. Berger |
| title_full_unstemmed | Statistical Decision Theory Foundations, Concepts, and Methods by James O. Berger |
| title_short | Statistical Decision Theory |
| title_sort | statistical decision theory foundations concepts and methods |
| title_sub | Foundations, Concepts, and Methods |
| topic | Statistics Statistics, general Statistik Bayes-Verfahren (DE-588)4204326-8 gnd Entscheidungstheorie (DE-588)4138606-1 gnd Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd Statistische Entscheidungstheorie (DE-588)4077850-2 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Statistics Statistics, general Statistik Bayes-Verfahren Entscheidungstheorie Bayes-Entscheidungstheorie Statistische Entscheidungstheorie |
| url | https://doi.org/10.1007/978-1-4757-1727-3 |
| work_keys_str_mv | AT bergerjameso statisticaldecisiontheoryfoundationsconceptsandmethods |