Bayesian reasoning in data analysis: a critical introduction
This book provides a multi-level introduction to Bayesian reasoning (as opposed to "conventional statistics") and its applications to data analysis. The basic ideas of this "new" approach to the quantification of uncertainty are presented using examples from research and everyday...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Singapore
World Scientific Pub. Co.
c2003
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Schlagworte: | |
Online-Zugang: | FHN01 Volltext |
Zusammenfassung: | This book provides a multi-level introduction to Bayesian reasoning (as opposed to "conventional statistics") and its applications to data analysis. The basic ideas of this "new" approach to the quantification of uncertainty are presented using examples from research and everyday life. Applications covered include: parametric inference; combination of results; treatment of uncertainty due to systematic errors and background; comparison of hypotheses; unfolding of experimental distributions; upper/lower bounds in frontier-type measurements. Approximate methods for routine use are derived and are shown often to coincide - under well-defined assumptions! - with "standard" methods, which can therefore be seen as special cases of the more general Bayesian methods. In dealing with uncertainty in measurements, modern metrological ideas are utilized, including the ISO classification of uncertainty into type A and type B. These are shown to fit well into the Bayesian framework |
Beschreibung: | xix, 329 p. ill |
ISBN: | 9789812775511 |
Internformat
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Datensatz im Suchindex
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any_adam_object | |
author | D'Agostini, G. |
author_facet | D'Agostini, G. |
author_role | aut |
author_sort | D'Agostini, G. |
author_variant | g d gd |
building | Verbundindex |
bvnumber | BV044635012 |
collection | ZDB-124-WOP |
ctrlnum | (ZDB-124-WOP)00003661 (OCoLC)855562783 (DE-599)BVBBV044635012 |
dewey-full | 519.542 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.542 |
dewey-search | 519.542 |
dewey-sort | 3519.542 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik |
format | Electronic eBook |
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id | DE-604.BV044635012 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T07:57:45Z |
institution | BVB |
isbn | 9789812775511 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030032983 |
oclc_num | 855562783 |
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owner | DE-92 |
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physical | xix, 329 p. ill |
psigel | ZDB-124-WOP ZDB-124-WOP FHN_PDA_WOP |
publishDate | 2003 |
publishDateSearch | 2003 |
publishDateSort | 2003 |
publisher | World Scientific Pub. Co. |
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spelling | D'Agostini, G. Verfasser aut Bayesian reasoning in data analysis a critical introduction Giulio D'Agostini Singapore World Scientific Pub. Co. c2003 xix, 329 p. ill txt rdacontent c rdamedia cr rdacarrier This book provides a multi-level introduction to Bayesian reasoning (as opposed to "conventional statistics") and its applications to data analysis. The basic ideas of this "new" approach to the quantification of uncertainty are presented using examples from research and everyday life. Applications covered include: parametric inference; combination of results; treatment of uncertainty due to systematic errors and background; comparison of hypotheses; unfolding of experimental distributions; upper/lower bounds in frontier-type measurements. Approximate methods for routine use are derived and are shown often to coincide - under well-defined assumptions! - with "standard" methods, which can therefore be seen as special cases of the more general Bayesian methods. In dealing with uncertainty in measurements, modern metrological ideas are utilized, including the ISO classification of uncertainty into type A and type B. These are shown to fit well into the Bayesian framework Bayesian statistical decision theory Datenanalyse (DE-588)4123037-1 gnd rswk-swf Bayes-Verfahren (DE-588)4204326-8 gnd rswk-swf Datenanalyse (DE-588)4123037-1 s Bayes-Verfahren (DE-588)4204326-8 s 1\p DE-604 Erscheint auch als Druck-Ausgabe 9789812383563 (alk. paper) Erscheint auch als Druck-Ausgabe 9812383565 (alk. paper) http://www.worldscientific.com/worldscibooks/10.1142/5262#t=toc Verlag URL des Erstveroeffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | D'Agostini, G. Bayesian reasoning in data analysis a critical introduction Bayesian statistical decision theory Datenanalyse (DE-588)4123037-1 gnd Bayes-Verfahren (DE-588)4204326-8 gnd |
subject_GND | (DE-588)4123037-1 (DE-588)4204326-8 |
title | Bayesian reasoning in data analysis a critical introduction |
title_auth | Bayesian reasoning in data analysis a critical introduction |
title_exact_search | Bayesian reasoning in data analysis a critical introduction |
title_full | Bayesian reasoning in data analysis a critical introduction Giulio D'Agostini |
title_fullStr | Bayesian reasoning in data analysis a critical introduction Giulio D'Agostini |
title_full_unstemmed | Bayesian reasoning in data analysis a critical introduction Giulio D'Agostini |
title_short | Bayesian reasoning in data analysis |
title_sort | bayesian reasoning in data analysis a critical introduction |
title_sub | a critical introduction |
topic | Bayesian statistical decision theory Datenanalyse (DE-588)4123037-1 gnd Bayes-Verfahren (DE-588)4204326-8 gnd |
topic_facet | Bayesian statistical decision theory Datenanalyse Bayes-Verfahren |
url | http://www.worldscientific.com/worldscibooks/10.1142/5262#t=toc |
work_keys_str_mv | AT dagostinig bayesianreasoningindataanalysisacriticalintroduction |