Introduction to nonparametric regression:
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hoboken, N.J.
Wiley-Interscience
©2006
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| Series: | Wiley series in probability and statistics
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| Subjects: | |
| Online Access: | FRO01 UBG01 Volltext |
| Item Description: | Includes bibliographical references (pages 529-531) and index Introduction to Nonparametric Regression presents a complete but fundamental and readily accessible treatment of nonparametric regression, a subset of the larger area of nonparametric statistics. The explanations are presented in a user-friendly format and along with S-Plus and R subroutines in an effort to derive many of the real-world data and results |
| Physical Description: | 1 Online-Ressource (xviii, 538 pages) |
| ISBN: | 0471771457 9780471771456 0471771449 9780471771449 0471745839 9780471745839 |
Staff View
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:24:29Z |
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| isbn | 0471771457 9780471771456 0471771449 9780471771449 0471745839 9780471745839 |
| language | English |
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| physical | 1 Online-Ressource (xviii, 538 pages) |
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| publishDate | 2006 |
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| publisher | Wiley-Interscience |
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| series2 | Wiley series in probability and statistics |
| spelling | Takezawa, Kunio Verfasser aut Introduction to nonparametric regression Kunio Takezawa Hoboken, N.J. Wiley-Interscience ©2006 1 Online-Ressource (xviii, 538 pages) txt rdacontent c rdamedia cr rdacarrier Wiley series in probability and statistics Includes bibliographical references (pages 529-531) and index Introduction to Nonparametric Regression presents a complete but fundamental and readily accessible treatment of nonparametric regression, a subset of the larger area of nonparametric statistics. The explanations are presented in a user-friendly format and along with S-Plus and R subroutines in an effort to derive many of the real-world data and results Textbooks fast Analyse de régression / Manuels d'enseignement supérieur Statistique non paramétrique / Manuels d'enseignement supérieur MATHEMATICS / Probability & Statistics / Regression Analysis bisacsh Nonparametric statistics fast Regression analysis fast Regression analysis / Textbooks Nonparametric statistics / Textbooks Electronic books https://onlinelibrary.wiley.com/doi/book/10.1002/0471771457 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Takezawa, Kunio Introduction to nonparametric regression Textbooks fast Analyse de régression / Manuels d'enseignement supérieur Statistique non paramétrique / Manuels d'enseignement supérieur MATHEMATICS / Probability & Statistics / Regression Analysis bisacsh Nonparametric statistics fast Regression analysis fast Regression analysis / Textbooks Nonparametric statistics / Textbooks |
| title | Introduction to nonparametric regression |
| title_auth | Introduction to nonparametric regression |
| title_exact_search | Introduction to nonparametric regression |
| title_full | Introduction to nonparametric regression Kunio Takezawa |
| title_fullStr | Introduction to nonparametric regression Kunio Takezawa |
| title_full_unstemmed | Introduction to nonparametric regression Kunio Takezawa |
| title_short | Introduction to nonparametric regression |
| title_sort | introduction to nonparametric regression |
| topic | Textbooks fast Analyse de régression / Manuels d'enseignement supérieur Statistique non paramétrique / Manuels d'enseignement supérieur MATHEMATICS / Probability & Statistics / Regression Analysis bisacsh Nonparametric statistics fast Regression analysis fast Regression analysis / Textbooks Nonparametric statistics / Textbooks |
| topic_facet | Textbooks Analyse de régression / Manuels d'enseignement supérieur Statistique non paramétrique / Manuels d'enseignement supérieur MATHEMATICS / Probability & Statistics / Regression Analysis Nonparametric statistics Regression analysis Regression analysis / Textbooks Nonparametric statistics / Textbooks |
| url | https://onlinelibrary.wiley.com/doi/book/10.1002/0471771457 |
| work_keys_str_mv | AT takezawakunio introductiontononparametricregression |