Resampling methods: a practical guide to data analysis
"...the author has packaged an excellent and modern set of topics around the development and use of quantitative models.... If you need to learn about resampling, this book would be a good place to start." - Technometrics (Review of Second Edition) This thoroughly revised and expanded thir...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boston [u.a.]
Birkhäuser
2005
|
| Ausgabe: | 3. ed. |
| Schlagworte: | |
| Zusammenfassung: | "...the author has packaged an excellent and modern set of topics around the development and use of quantitative models.... If you need to learn about resampling, this book would be a good place to start." - Technometrics (Review of Second Edition) This thoroughly revised and expanded third edition is a practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. Only requiring minimal mathematics beyond algebra, it provides a table-free introduction to data analysis utilizing numerous exercises, practical data sets, and freely available statistical shareware Topics and Features: * Suitable for classroom use and individual, self-study purposes * Numerous practical examples using popular computer programs * Downloadable freeware from author's website: http://users.oco.net/drphilgood/resamp.htm New to the Third Edition: * Procedures are grouped by application; a prefatory chapter guides readers to the appropriate reading matter * Additional program listings and screen shots of C++, CART, Blossom, Box Sampler (an Excel add-in), R, Resampling Stats, SAS macros, S-Plus or Stata accompany each resampling procedure * A glossary and answers to selected exercises are included With its accessible style and intuitive topic development, the book is an excellent basic resource for the power, simplicity, and versatility of resampling methods. It is an essential resource for industrial statisticians, statistical consultants, students, and research professionals in science, engineering, and technology |
| Beschreibung: | Auch als Internetausgabe |
| Beschreibung: | XVI, 218 S. Ill., graph. Darst. |
| ISBN: | 0817643869 9780817643867 |
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| 520 | |a "...the author has packaged an excellent and modern set of topics around the development and use of quantitative models.... If you need to learn about resampling, this book would be a good place to start." - Technometrics (Review of Second Edition) This thoroughly revised and expanded third edition is a practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. Only requiring minimal mathematics beyond algebra, it provides a table-free introduction to data analysis utilizing numerous exercises, practical data sets, and freely available statistical shareware | ||
| 520 | |a Topics and Features: * Suitable for classroom use and individual, self-study purposes * Numerous practical examples using popular computer programs * Downloadable freeware from author's website: http://users.oco.net/drphilgood/resamp.htm New to the Third Edition: * Procedures are grouped by application; a prefatory chapter guides readers to the appropriate reading matter * Additional program listings and screen shots of C++, CART, Blossom, Box Sampler (an Excel add-in), R, Resampling Stats, SAS macros, S-Plus or Stata accompany each resampling procedure * A glossary and answers to selected exercises are included With its accessible style and intuitive topic development, the book is an excellent basic resource for the power, simplicity, and versatility of resampling methods. It is an essential resource for industrial statisticians, statistical consultants, students, and research professionals in science, engineering, and technology | ||
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Datensatz im Suchindex
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| author | Good, Phillip I. 1937- |
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| author_variant | p i g pi pig |
| building | Verbundindex |
| bvnumber | BV020863242 |
| classification_rvk | QH 235 SK 830 SK 835 |
| classification_tum | MAT 629f |
| ctrlnum | (OCoLC)254291500 (DE-599)BVBBV020863242 |
| dewey-full | 519.54 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.54 |
| dewey-search | 519.54 |
| dewey-sort | 3519.54 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik Wirtschaftswissenschaften |
| discipline_str_mv | Mathematik Wirtschaftswissenschaften |
| edition | 3. ed. |
| format | Book |
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| illustrated | Illustrated |
| index_date | 2024-07-02T13:23:40Z |
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| isbn | 0817643869 9780817643867 |
| language | English |
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| spelling | Good, Phillip I. 1937- Verfasser (DE-588)130601152 aut Resampling methods a practical guide to data analysis Phillip I. Good 3. ed. Boston [u.a.] Birkhäuser 2005 XVI, 218 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Auch als Internetausgabe "...the author has packaged an excellent and modern set of topics around the development and use of quantitative models.... If you need to learn about resampling, this book would be a good place to start." - Technometrics (Review of Second Edition) This thoroughly revised and expanded third edition is a practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. Only requiring minimal mathematics beyond algebra, it provides a table-free introduction to data analysis utilizing numerous exercises, practical data sets, and freely available statistical shareware Topics and Features: * Suitable for classroom use and individual, self-study purposes * Numerous practical examples using popular computer programs * Downloadable freeware from author's website: http://users.oco.net/drphilgood/resamp.htm New to the Third Edition: * Procedures are grouped by application; a prefatory chapter guides readers to the appropriate reading matter * Additional program listings and screen shots of C++, CART, Blossom, Box Sampler (an Excel add-in), R, Resampling Stats, SAS macros, S-Plus or Stata accompany each resampling procedure * A glossary and answers to selected exercises are included With its accessible style and intuitive topic development, the book is an excellent basic resource for the power, simplicity, and versatility of resampling methods. It is an essential resource for industrial statisticians, statistical consultants, students, and research professionals in science, engineering, and technology Resampling (DE-588)4288033-6 gnd rswk-swf 1\p (DE-588)4151278-9 Einführung gnd-content Resampling (DE-588)4288033-6 s DE-604 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Good, Phillip I. 1937- Resampling methods a practical guide to data analysis Resampling (DE-588)4288033-6 gnd |
| subject_GND | (DE-588)4288033-6 (DE-588)4151278-9 |
| title | Resampling methods a practical guide to data analysis |
| title_auth | Resampling methods a practical guide to data analysis |
| title_exact_search | Resampling methods a practical guide to data analysis |
| title_exact_search_txtP | Resampling methods a practical guide to data analysis |
| title_full | Resampling methods a practical guide to data analysis Phillip I. Good |
| title_fullStr | Resampling methods a practical guide to data analysis Phillip I. Good |
| title_full_unstemmed | Resampling methods a practical guide to data analysis Phillip I. Good |
| title_short | Resampling methods |
| title_sort | resampling methods a practical guide to data analysis |
| title_sub | a practical guide to data analysis |
| topic | Resampling (DE-588)4288033-6 gnd |
| topic_facet | Resampling Einführung |
| work_keys_str_mv | AT goodphillipi resamplingmethodsapracticalguidetodataanalysis |