Contemporary Bayesian econometrics and statistics:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, NJ
Wiley
2005
|
| Schriftenreihe: | Wiley series in probability and statistics
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Beschreibung: | XI, 300 S. graph. Darst. |
| ISBN: | 0471679321 9780471679325 |
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| 650 | 4 | |a Bayesian statistical decision theory | |
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Datensatz im Suchindex
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|---|---|
| adam_text | Contents
Preface
1.
1.1
1.1.1
1.1.2
1.2
1.3
1.4
1.5
1.6
2.
2.1
2.2
2.2.1
2.2.2
2.2.3
2.3
2.4
2.5
2.6
2.6.1
2.6.2
VI
CONTENTS
3.
3.1
3.2
3.3
3.4
3.5
4.
4.1
4.2
4.2.1
4.2.2
4.3
4.3.1
4.3.2
4.4
4.4.1
4.4.2
4.5
4.5.1
4.5.2
4.6
4.6.1
4.6.2
4.7
Monte Carlo,
5.
5.1
5.2
5.3
5.3.1
5.3.2
and Covariate Selection,
5.4
5.4.1
5.4.2
CONTENTS
6.
6.1
6.2
6.3
6.4
6.4.1
6.4.2
6.4.3
7.
7.1
7.2
7.2.1
7.2.2
7.3
8.
8.1
8.1.1
8.1.2
8.2
8.2.1
8.2.2
Sampling,
8.2.3
8.2.4
8.3
8.3.1
8.3.2
8.4
8.5
Bibliography
Author Index
Subject Index
F1phis
ќ
Contemporary Bayesian Econometrics and Statistics provides readers with state-of-the-art
simulation methods and models that are used to solve complex real-world problems.
Armed with a strong foundation in both theory and practical problem-solving tools,
readers discover how to optimise decision making when faced with problems that
involve limited or imperfect data.
The book begins by examining the theoretical and mathematical foundations of
Bayesian statistics to help readers understand how and why it is used in problem solving.
The author then describes how modern
practical using widely available mathematical applications software. In addition, the
author details how models can be applied to specific problems, including:
о
о
о
о
The publication has been developed and fine-timed through a decade of classroom
experience, and readers will find the author s approach very engaging and accessible.
There are nearly
Bayesian statistics enables them to make optimal decisions.
programs are integrated throughout the book. An accompanying Web site provides
readers with computer code for many examples and
This publication is tailored for research professionals who use econometrics and similar
statistical methods in their work. With its emphasis on practical problem solving and
extensive°use
level students in a broad range of fields, including economics, statistics, the social
sciences, business, and public policy.
jOtû i
of Economics and Statistics at the University of Iowa. He is an elected Fellow of the
Econometric Society and the American Statistical Association, former President of the
Internaţionali
|
| adam_txt |
Contents
Preface
1.
1.1
1.1.1
1.1.2
1.2
1.3
1.4
1.5
1.6
2.
2.1
2.2
2.2.1
2.2.2
2.2.3
2.3
2.4
2.5
2.6
2.6.1
2.6.2
VI
CONTENTS
3.
3.1
3.2
3.3
3.4
3.5
4.
4.1
4.2
4.2.1
4.2.2
4.3
4.3.1
4.3.2
4.4
4.4.1
4.4.2
4.5
4.5.1
4.5.2
4.6
4.6.1
4.6.2
4.7
Monte Carlo,
5.
5.1
5.2
5.3
5.3.1
5.3.2
and Covariate Selection,
5.4
5.4.1
5.4.2
CONTENTS
6.
6.1
6.2
6.3
6.4
6.4.1
6.4.2
6.4.3
7.
7.1
7.2
7.2.1
7.2.2
7.3
8.
8.1
8.1.1
8.1.2
8.2
8.2.1
8.2.2
Sampling,
8.2.3
8.2.4
8.3
8.3.1
8.3.2
8.4
8.5
Bibliography
Author Index
Subject Index
F1phis
ќ
Contemporary Bayesian Econometrics and Statistics provides readers with state-of-the-art
simulation methods and models that are used to solve complex real-world problems.
Armed with a strong foundation in both theory and practical problem-solving tools,
readers discover how to optimise decision making when faced with problems that
involve limited or imperfect data.
The book begins by examining the theoretical and mathematical foundations of
Bayesian statistics to help readers understand how and why it is used in problem solving.
The author then describes how modern
practical using widely available mathematical applications software. In addition, the
author details how models can be applied to specific problems, including:
о
о
о
о
The publication has been developed and fine-timed through a decade of classroom
experience, and readers will find the author's approach very engaging and accessible.
There are nearly
Bayesian statistics enables them to make optimal decisions.
programs are integrated throughout the book. An accompanying Web site provides
readers with computer code for many examples and
This publication is tailored for research professionals who use econometrics and similar
statistical methods in their work. With its emphasis on practical problem solving and
extensive°use
level students in a broad range of fields, including economics, statistics, the social
sciences, business, and public policy.
jOtû'i
of Economics and Statistics at the University of Iowa. He is an elected Fellow of the
Econometric Society and the American Statistical Association, former President of the
Internaţionali |
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| isbn | 0471679321 9780471679325 |
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| spelling | Geweke, John 1948- Verfasser (DE-588)173218237 aut Contemporary Bayesian econometrics and statistics John Geweke Hoboken, NJ Wiley 2005 XI, 300 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Wiley series in probability and statistics Econometrie gtt Methode van Bayes gtt Prise de décision - Modèles mathématiques Statistiek gtt Statistique bayésienne Économétrie Mathematisches Modell Statistik Econometrics Bayesian statistical decision theory Decision making Mathematical models Ökonometrie (DE-588)4132280-0 gnd rswk-swf Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd rswk-swf Bayes-Verfahren (DE-588)4204326-8 gnd rswk-swf Bayes-Entscheidungstheorie (DE-588)4144220-9 s DE-604 Ökonometrie (DE-588)4132280-0 s Bayes-Verfahren (DE-588)4204326-8 s Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014604150&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014604150&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Geweke, John 1948- Contemporary Bayesian econometrics and statistics Econometrie gtt Methode van Bayes gtt Prise de décision - Modèles mathématiques Statistiek gtt Statistique bayésienne Économétrie Mathematisches Modell Statistik Econometrics Bayesian statistical decision theory Decision making Mathematical models Ökonometrie (DE-588)4132280-0 gnd Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd Bayes-Verfahren (DE-588)4204326-8 gnd |
| subject_GND | (DE-588)4132280-0 (DE-588)4144220-9 (DE-588)4204326-8 |
| title | Contemporary Bayesian econometrics and statistics |
| title_auth | Contemporary Bayesian econometrics and statistics |
| title_exact_search | Contemporary Bayesian econometrics and statistics |
| title_exact_search_txtP | Contemporary Bayesian econometrics and statistics |
| title_full | Contemporary Bayesian econometrics and statistics John Geweke |
| title_fullStr | Contemporary Bayesian econometrics and statistics John Geweke |
| title_full_unstemmed | Contemporary Bayesian econometrics and statistics John Geweke |
| title_short | Contemporary Bayesian econometrics and statistics |
| title_sort | contemporary bayesian econometrics and statistics |
| topic | Econometrie gtt Methode van Bayes gtt Prise de décision - Modèles mathématiques Statistiek gtt Statistique bayésienne Économétrie Mathematisches Modell Statistik Econometrics Bayesian statistical decision theory Decision making Mathematical models Ökonometrie (DE-588)4132280-0 gnd Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd Bayes-Verfahren (DE-588)4204326-8 gnd |
| topic_facet | Econometrie Methode van Bayes Prise de décision - Modèles mathématiques Statistiek Statistique bayésienne Économétrie Mathematisches Modell Statistik Econometrics Bayesian statistical decision theory Decision making Mathematical models Ökonometrie Bayes-Entscheidungstheorie Bayes-Verfahren |
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