Bootstrap methods and their application:
Bootstrap methods are computer-intensive methods of statistical analysis, which use simulation to calculate standard errors, confidence intervals, and significance tests. The methods apply for any level of modelling, and so can be used for fully parametric, semiparametric, and completely nonparametr...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
1997
|
| Schriftenreihe: | Cambridge series on statistical and probabilistic mathematics
1 |
| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 UBT01 Volltext |
| Zusammenfassung: | Bootstrap methods are computer-intensive methods of statistical analysis, which use simulation to calculate standard errors, confidence intervals, and significance tests. The methods apply for any level of modelling, and so can be used for fully parametric, semiparametric, and completely nonparametric analysis. This 1997 book gives a broad and up-to-date coverage of bootstrap methods, with numerous applied examples, developed in a coherent way with the necessary theoretical basis. Applications include stratified data; finite populations; censored and missing data; linear, nonlinear, and smooth regression models; classification; time series and spatial problems. Special features of the book include: extensive discussion of significance tests and confidence intervals; material on various diagnostic methods; and methods for efficient computation, including improved Monte Carlo simulation. Each chapter includes both practical and theoretical exercises. S-Plus programs for implementing the methods described in the text are available from the supporting website |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (x, 582 pages) |
| ISBN: | 9780511802843 |
| DOI: | 10.1017/CBO9780511802843 |
Internformat
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| 520 | |a Bootstrap methods are computer-intensive methods of statistical analysis, which use simulation to calculate standard errors, confidence intervals, and significance tests. The methods apply for any level of modelling, and so can be used for fully parametric, semiparametric, and completely nonparametric analysis. This 1997 book gives a broad and up-to-date coverage of bootstrap methods, with numerous applied examples, developed in a coherent way with the necessary theoretical basis. Applications include stratified data; finite populations; censored and missing data; linear, nonlinear, and smooth regression models; classification; time series and spatial problems. Special features of the book include: extensive discussion of significance tests and confidence intervals; material on various diagnostic methods; and methods for efficient computation, including improved Monte Carlo simulation. Each chapter includes both practical and theoretical exercises. S-Plus programs for implementing the methods described in the text are available from the supporting website | ||
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Datensatz im Suchindex
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| author | Davison, Anthony C. 1958- Hinkley, David V. |
| author_GND | (DE-588)131983458 (DE-588)170893936 |
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| dewey-full | 519.5/44 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5/44 |
| dewey-search | 519.5/44 |
| dewey-sort | 3519.5 244 |
| dewey-tens | 510 - Mathematics |
| discipline | Psychologie Mathematik Wirtschaftswissenschaften |
| doi_str_mv | 10.1017/CBO9780511802843 |
| format | Electronic eBook |
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| indexdate | 2024-07-10T07:39:14Z |
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| isbn | 9780511802843 |
| language | English |
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| spelling | Davison, Anthony C. 1958- Verfasser (DE-588)131983458 aut Bootstrap methods and their application A.C. Davison, D.V. Hinkley Bootstrap Methods & their Application Cambridge Cambridge University Press 1997 1 online resource (x, 582 pages) txt rdacontent c rdamedia cr rdacarrier Cambridge series on statistical and probabilistic mathematics 1 Title from publisher's bibliographic system (viewed on 05 Oct 2015) Bootstrap methods are computer-intensive methods of statistical analysis, which use simulation to calculate standard errors, confidence intervals, and significance tests. The methods apply for any level of modelling, and so can be used for fully parametric, semiparametric, and completely nonparametric analysis. This 1997 book gives a broad and up-to-date coverage of bootstrap methods, with numerous applied examples, developed in a coherent way with the necessary theoretical basis. Applications include stratified data; finite populations; censored and missing data; linear, nonlinear, and smooth regression models; classification; time series and spatial problems. Special features of the book include: extensive discussion of significance tests and confidence intervals; material on various diagnostic methods; and methods for efficient computation, including improved Monte Carlo simulation. Each chapter includes both practical and theoretical exercises. S-Plus programs for implementing the methods described in the text are available from the supporting website Bootstrap (Statistics) Bootstrap-Statistik (DE-588)4139168-8 gnd rswk-swf Bootstrap-Statistik (DE-588)4139168-8 s 1\p DE-604 Hinkley, David V. Verfasser (DE-588)170893936 aut Erscheint auch als Druckausgabe 978-0-521-57391-7 Erscheint auch als Druckausgabe 978-0-521-57471-6 https://doi.org/10.1017/CBO9780511802843 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Davison, Anthony C. 1958- Hinkley, David V. Bootstrap methods and their application Bootstrap (Statistics) Bootstrap-Statistik (DE-588)4139168-8 gnd |
| subject_GND | (DE-588)4139168-8 |
| title | Bootstrap methods and their application |
| title_alt | Bootstrap Methods & their Application |
| title_auth | Bootstrap methods and their application |
| title_exact_search | Bootstrap methods and their application |
| title_full | Bootstrap methods and their application A.C. Davison, D.V. Hinkley |
| title_fullStr | Bootstrap methods and their application A.C. Davison, D.V. Hinkley |
| title_full_unstemmed | Bootstrap methods and their application A.C. Davison, D.V. Hinkley |
| title_short | Bootstrap methods and their application |
| title_sort | bootstrap methods and their application |
| topic | Bootstrap (Statistics) Bootstrap-Statistik (DE-588)4139168-8 gnd |
| topic_facet | Bootstrap (Statistics) Bootstrap-Statistik |
| url | https://doi.org/10.1017/CBO9780511802843 |
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