Predictive statistics: analysis and inference beyond models
All scientific disciplines prize predictive success. Conventional statistical analyses, however, treat prediction as secondary, instead focusing on modeling and hence estimation, testing, and detailed physical interpretation, tackling these tasks before the predictive adequacy of a model is establis...
Gespeichert in:
Hauptverfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cambridge
Cambridge University Press
2018
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Schriftenreihe: | Cambridge series in statistical and probabilistic mathematics
46 |
Schlagworte: | |
Online-Zugang: | BSB01 FHN01 UPA01 Volltext |
Zusammenfassung: | All scientific disciplines prize predictive success. Conventional statistical analyses, however, treat prediction as secondary, instead focusing on modeling and hence estimation, testing, and detailed physical interpretation, tackling these tasks before the predictive adequacy of a model is established. This book outlines a fully predictive approach to statistical problems based on studying predictors; the approach does not require predictors correspond to a model although this important special case is included in the general approach. Throughout, the point is to examine predictive performance before considering conventional inference. These ideas are traced through five traditional subfields of statistics, helping readers to refocus and adopt a directly predictive outlook. The book also considers prediction via contemporary 'black box' techniques and emerging data types and methodologies where conventional modeling is so difficult that good prediction is the main criterion available for evaluating the performance of a statistical method. Well-documented open-source R code in a Github repository allows readers to replicate examples and apply techniques to other investigations |
Beschreibung: | Title from publisher's bibliographic system (viewed on 27 Apr 2018) |
Beschreibung: | 1 Online-Ressource (xiii, 642 Seiten) |
ISBN: | 9781139236003 |
DOI: | 10.1017/9781139236003 |
Internformat
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520 | |a All scientific disciplines prize predictive success. Conventional statistical analyses, however, treat prediction as secondary, instead focusing on modeling and hence estimation, testing, and detailed physical interpretation, tackling these tasks before the predictive adequacy of a model is established. This book outlines a fully predictive approach to statistical problems based on studying predictors; the approach does not require predictors correspond to a model although this important special case is included in the general approach. Throughout, the point is to examine predictive performance before considering conventional inference. These ideas are traced through five traditional subfields of statistics, helping readers to refocus and adopt a directly predictive outlook. The book also considers prediction via contemporary 'black box' techniques and emerging data types and methodologies where conventional modeling is so difficult that good prediction is the main criterion available for evaluating the performance of a statistical method. Well-documented open-source R code in a Github repository allows readers to replicate examples and apply techniques to other investigations | ||
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Datensatz im Suchindex
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any_adam_object | |
author | Clarke, Bertrand 1963- Clarke, Jennifer L. 1971- |
author_GND | (DE-588)1036967913 (DE-588)1161035540 |
author_facet | Clarke, Bertrand 1963- Clarke, Jennifer L. 1971- |
author_role | aut aut |
author_sort | Clarke, Bertrand 1963- |
author_variant | b c bc j l c jl jlc |
building | Verbundindex |
bvnumber | BV045088239 |
classification_rvk | QH 240 |
collection | ZDB-20-CBO |
ctrlnum | (ZDB-20-CBO)CR9781139236003 (OCoLC)1037876046 (DE-599)BVBBV045088239 |
dewey-full | 519.2/87 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.2/87 |
dewey-search | 519.2/87 |
dewey-sort | 3519.2 287 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik Wirtschaftswissenschaften |
doi_str_mv | 10.1017/9781139236003 |
format | Electronic eBook |
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id | DE-604.BV045088239 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:08:17Z |
institution | BVB |
isbn | 9781139236003 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030479078 |
oclc_num | 1037876046 |
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owner | DE-12 DE-739 DE-92 |
owner_facet | DE-12 DE-739 DE-92 |
physical | 1 Online-Ressource (xiii, 642 Seiten) |
psigel | ZDB-20-CBO ZDB-20-CBO BSB_PDA_CBO ZDB-20-CBO FHN_PDA_CBO ZDB-20-CBO UPA_PDA_CBO_Kauf |
publishDate | 2018 |
publishDateSearch | 2018 |
publishDateSort | 2018 |
publisher | Cambridge University Press |
record_format | marc |
series2 | Cambridge series in statistical and probabilistic mathematics |
spelling | Clarke, Bertrand 1963- Verfasser (DE-588)1036967913 aut Predictive statistics analysis and inference beyond models Bertrand S. Clarke, Jennifer L. Clarke Cambridge Cambridge University Press 2018 1 Online-Ressource (xiii, 642 Seiten) txt rdacontent c rdamedia cr rdacarrier Cambridge series in statistical and probabilistic mathematics 46 Title from publisher's bibliographic system (viewed on 27 Apr 2018) All scientific disciplines prize predictive success. Conventional statistical analyses, however, treat prediction as secondary, instead focusing on modeling and hence estimation, testing, and detailed physical interpretation, tackling these tasks before the predictive adequacy of a model is established. This book outlines a fully predictive approach to statistical problems based on studying predictors; the approach does not require predictors correspond to a model although this important special case is included in the general approach. Throughout, the point is to examine predictive performance before considering conventional inference. These ideas are traced through five traditional subfields of statistics, helping readers to refocus and adopt a directly predictive outlook. The book also considers prediction via contemporary 'black box' techniques and emerging data types and methodologies where conventional modeling is so difficult that good prediction is the main criterion available for evaluating the performance of a statistical method. Well-documented open-source R code in a Github repository allows readers to replicate examples and apply techniques to other investigations Prediction theory Deskriptive Statistik (DE-588)4070313-7 gnd rswk-swf Explorative Datenanalyse (DE-588)4128896-8 gnd rswk-swf Methodologie (DE-588)4139716-2 gnd rswk-swf Vorhersagetheorie (DE-588)4188671-9 gnd rswk-swf Deskriptive Statistik (DE-588)4070313-7 s Explorative Datenanalyse (DE-588)4128896-8 s Methodologie (DE-588)4139716-2 s 1\p DE-604 Vorhersagetheorie (DE-588)4188671-9 s 2\p DE-604 Clarke, Jennifer L. 1971- Verfasser (DE-588)1161035540 aut Erscheint auch als Druck-Ausgabe 9781107028289 https://doi.org/10.1017/9781139236003 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 |
spellingShingle | Clarke, Bertrand 1963- Clarke, Jennifer L. 1971- Predictive statistics analysis and inference beyond models Prediction theory Deskriptive Statistik (DE-588)4070313-7 gnd Explorative Datenanalyse (DE-588)4128896-8 gnd Methodologie (DE-588)4139716-2 gnd Vorhersagetheorie (DE-588)4188671-9 gnd |
subject_GND | (DE-588)4070313-7 (DE-588)4128896-8 (DE-588)4139716-2 (DE-588)4188671-9 |
title | Predictive statistics analysis and inference beyond models |
title_auth | Predictive statistics analysis and inference beyond models |
title_exact_search | Predictive statistics analysis and inference beyond models |
title_full | Predictive statistics analysis and inference beyond models Bertrand S. Clarke, Jennifer L. Clarke |
title_fullStr | Predictive statistics analysis and inference beyond models Bertrand S. Clarke, Jennifer L. Clarke |
title_full_unstemmed | Predictive statistics analysis and inference beyond models Bertrand S. Clarke, Jennifer L. Clarke |
title_short | Predictive statistics |
title_sort | predictive statistics analysis and inference beyond models |
title_sub | analysis and inference beyond models |
topic | Prediction theory Deskriptive Statistik (DE-588)4070313-7 gnd Explorative Datenanalyse (DE-588)4128896-8 gnd Methodologie (DE-588)4139716-2 gnd Vorhersagetheorie (DE-588)4188671-9 gnd |
topic_facet | Prediction theory Deskriptive Statistik Explorative Datenanalyse Methodologie Vorhersagetheorie |
url | https://doi.org/10.1017/9781139236003 |
work_keys_str_mv | AT clarkebertrand predictivestatisticsanalysisandinferencebeyondmodels AT clarkejenniferl predictivestatisticsanalysisandinferencebeyondmodels |