The jackknife, the bootstrap, and other resampling plans:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Philadelphia, Pa.
Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104)
1982
|
| Schriftenreihe: | CBMS-NSF Regional conference series in applied mathematics
38 |
| Schlagworte: | |
| Online-Zugang: | TUM01 UBW01 UBY01 UER01 Volltext |
| Beschreibung: | Mode of access: World Wide Web. - System requirements: Adobe Acrobat Reader Includes bibliographical references (s. 91-92) The jackknife estimate of bias -- The jackknife estimate of variance -- Bias of the jackknife variance estimate -- The bootstrap -- The infinitesimal jackknife -- The Delta Method and the influence function -- cross-validation, jackknife and bootstrap -- Balanced repeated replications (half-sampling) -- Random subsampling -- Nonparametric confidence intervals The jackknife and the bootstrap are nonparametric methods for assessing the errors in a statistical estimation problem. They provide several advantages over the traditional parametric approach: the methods are easy to describe and they apply to arbitrarily complicated situations; distribution assumptions, such as normality, are never made. This monograph connects the jackknife, the bootstrap, and many other related ideas such as cross-validation, random subsampling, and balanced repeated replications into a unified exposition. The theoretical development is at an easy mathematical level and is supplemented by a large number of numerical examples. The methods described in this monograph form a useful set of tools for the applied statistician. They are particularly useful in problem areas where complicated data structures are common, for example, in censoring, missing data, and highly multivariate situations |
| Beschreibung: | 1 Online-Ressource (vii, 92 Seiten) |
| ISBN: | 0898711797 9780898711790 |
| DOI: | 10.1137/1.9781611970319 |
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| 245 | 1 | 0 | |a The jackknife, the bootstrap, and other resampling plans |c Bradley Efron |
| 264 | 1 | |a Philadelphia, Pa. |b Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104) |c 1982 | |
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| 490 | 1 | |a CBMS-NSF Regional conference series in applied mathematics |v 38 | |
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| 500 | |a Includes bibliographical references (s. 91-92) | ||
| 500 | |a The jackknife estimate of bias -- The jackknife estimate of variance -- Bias of the jackknife variance estimate -- The bootstrap -- The infinitesimal jackknife -- The Delta Method and the influence function -- cross-validation, jackknife and bootstrap -- Balanced repeated replications (half-sampling) -- Random subsampling -- Nonparametric confidence intervals | ||
| 500 | |a The jackknife and the bootstrap are nonparametric methods for assessing the errors in a statistical estimation problem. They provide several advantages over the traditional parametric approach: the methods are easy to describe and they apply to arbitrarily complicated situations; distribution assumptions, such as normality, are never made. This monograph connects the jackknife, the bootstrap, and many other related ideas such as cross-validation, random subsampling, and balanced repeated replications into a unified exposition. The theoretical development is at an easy mathematical level and is supplemented by a large number of numerical examples. The methods described in this monograph form a useful set of tools for the applied statistician. They are particularly useful in problem areas where complicated data structures are common, for example, in censoring, missing data, and highly multivariate situations | ||
| 650 | 4 | |a Estimation theory | |
| 650 | 4 | |a Error analysis (Mathematics) | |
| 650 | 4 | |a Jackknife (Statistics) | |
| 650 | 4 | |a Bootstrap (Statistics) | |
| 650 | 4 | |a Resampling (Statistics) | |
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Datensatz im Suchindex
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| any_adam_object | |
| author | Efron, Bradley 1938- |
| author_GND | (DE-588)142290718 |
| author_facet | Efron, Bradley 1938- |
| author_role | aut |
| author_sort | Efron, Bradley 1938- |
| author_variant | b e be |
| building | Verbundindex |
| bvnumber | BV039747269 |
| classification_rvk | QH 236 SI 196 QH 233 SD 1980 SK 830 |
| collection | ZDB-72-SIA |
| ctrlnum | (OCoLC)873886394 (DE-599)BVBBV039747269 |
| discipline | Mathematik Wirtschaftswissenschaften |
| doi_str_mv | 10.1137/1.9781611970319 |
| format | Electronic eBook |
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| id | DE-604.BV039747269 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T00:10:18Z |
| institution | BVB |
| isbn | 0898711797 9780898711790 |
| language | English |
| lccn | 81084708 |
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| physical | 1 Online-Ressource (vii, 92 Seiten) |
| psigel | ZDB-72-SIA |
| publishDate | 1982 |
| publishDateSearch | 1982 |
| publishDateSort | 1982 |
| publisher | Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104) |
| record_format | marc |
| series | CBMS-NSF Regional conference series in applied mathematics |
| series2 | CBMS-NSF Regional conference series in applied mathematics |
| spelling | Efron, Bradley 1938- Verfasser (DE-588)142290718 aut The jackknife, the bootstrap, and other resampling plans Bradley Efron Philadelphia, Pa. Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104) 1982 1 Online-Ressource (vii, 92 Seiten) txt rdacontent c rdamedia cr rdacarrier CBMS-NSF Regional conference series in applied mathematics 38 Mode of access: World Wide Web. - System requirements: Adobe Acrobat Reader Includes bibliographical references (s. 91-92) The jackknife estimate of bias -- The jackknife estimate of variance -- Bias of the jackknife variance estimate -- The bootstrap -- The infinitesimal jackknife -- The Delta Method and the influence function -- cross-validation, jackknife and bootstrap -- Balanced repeated replications (half-sampling) -- Random subsampling -- Nonparametric confidence intervals The jackknife and the bootstrap are nonparametric methods for assessing the errors in a statistical estimation problem. They provide several advantages over the traditional parametric approach: the methods are easy to describe and they apply to arbitrarily complicated situations; distribution assumptions, such as normality, are never made. This monograph connects the jackknife, the bootstrap, and many other related ideas such as cross-validation, random subsampling, and balanced repeated replications into a unified exposition. The theoretical development is at an easy mathematical level and is supplemented by a large number of numerical examples. The methods described in this monograph form a useful set of tools for the applied statistician. They are particularly useful in problem areas where complicated data structures are common, for example, in censoring, missing data, and highly multivariate situations Estimation theory Error analysis (Mathematics) Jackknife (Statistics) Bootstrap (Statistics) Resampling (Statistics) Nichtparametrische Statistik (DE-588)4226777-8 gnd rswk-swf Varianzanalyse (DE-588)4187413-4 gnd rswk-swf Jackknife-Schätzung (DE-588)4385173-3 gnd rswk-swf Nichtparametrische Schätzung (DE-588)4203980-0 gnd rswk-swf Schätzung (DE-588)4193791-0 gnd rswk-swf Varianz (DE-588)4078739-4 gnd rswk-swf Bootstrap-Statistik (DE-588)4139168-8 gnd rswk-swf 1\p (DE-588)1071861417 Konferenzschrift gnd-content Nichtparametrische Schätzung (DE-588)4203980-0 s DE-604 Varianzanalyse (DE-588)4187413-4 s Bootstrap-Statistik (DE-588)4139168-8 s Jackknife-Schätzung (DE-588)4385173-3 s Varianz (DE-588)4078739-4 s 2\p DE-604 Nichtparametrische Statistik (DE-588)4226777-8 s 3\p DE-604 Schätzung (DE-588)4193791-0 s 4\p DE-604 Erscheint auch als Druck-Ausgabe, Paperback 0898711797 Erscheint auch als Druck-Ausgabe, Paperback 9780898711790 CBMS-NSF Regional conference series in applied mathematics 38 (DE-604)BV046682627 38 https://doi.org/10.1137/1.9781611970319 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 | Efron, Bradley 1938- The jackknife, the bootstrap, and other resampling plans CBMS-NSF Regional conference series in applied mathematics Estimation theory Error analysis (Mathematics) Jackknife (Statistics) Bootstrap (Statistics) Resampling (Statistics) Nichtparametrische Statistik (DE-588)4226777-8 gnd Varianzanalyse (DE-588)4187413-4 gnd Jackknife-Schätzung (DE-588)4385173-3 gnd Nichtparametrische Schätzung (DE-588)4203980-0 gnd Schätzung (DE-588)4193791-0 gnd Varianz (DE-588)4078739-4 gnd Bootstrap-Statistik (DE-588)4139168-8 gnd |
| subject_GND | (DE-588)4226777-8 (DE-588)4187413-4 (DE-588)4385173-3 (DE-588)4203980-0 (DE-588)4193791-0 (DE-588)4078739-4 (DE-588)4139168-8 (DE-588)1071861417 |
| title | The jackknife, the bootstrap, and other resampling plans |
| title_auth | The jackknife, the bootstrap, and other resampling plans |
| title_exact_search | The jackknife, the bootstrap, and other resampling plans |
| title_full | The jackknife, the bootstrap, and other resampling plans Bradley Efron |
| title_fullStr | The jackknife, the bootstrap, and other resampling plans Bradley Efron |
| title_full_unstemmed | The jackknife, the bootstrap, and other resampling plans Bradley Efron |
| title_short | The jackknife, the bootstrap, and other resampling plans |
| title_sort | the jackknife the bootstrap and other resampling plans |
| topic | Estimation theory Error analysis (Mathematics) Jackknife (Statistics) Bootstrap (Statistics) Resampling (Statistics) Nichtparametrische Statistik (DE-588)4226777-8 gnd Varianzanalyse (DE-588)4187413-4 gnd Jackknife-Schätzung (DE-588)4385173-3 gnd Nichtparametrische Schätzung (DE-588)4203980-0 gnd Schätzung (DE-588)4193791-0 gnd Varianz (DE-588)4078739-4 gnd Bootstrap-Statistik (DE-588)4139168-8 gnd |
| topic_facet | Estimation theory Error analysis (Mathematics) Jackknife (Statistics) Bootstrap (Statistics) Resampling (Statistics) Nichtparametrische Statistik Varianzanalyse Jackknife-Schätzung Nichtparametrische Schätzung Schätzung Varianz Bootstrap-Statistik Konferenzschrift |
| url | https://doi.org/10.1137/1.9781611970319 |
| volume_link | (DE-604)BV046682627 |
| work_keys_str_mv | AT efronbradley thejackknifethebootstrapandotherresamplingplans |