Nonparametric Smoothing and Lack-of-Fit Tests:
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY
Springer New York
1997
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Schriftenreihe: | Springer Series in Statistics
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Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | The The primary primary aim aim of of this this book book is is to to explore explore the the use use of of nonparametric nonparametric regres regres sion sion (i. e. , (i. e. , smoothing) smoothing) methodology methodology in in testing testing the the fit fit of of parametric parametric regression regression models. models. It It is is anticipated anticipated that that the the book book will will be be of of interest interest to to an an audience audience of of graduate graduate students, students, researchers researchers and and practitioners practitioners who who study study or or use use smooth smooth ing ing methodology. methodology. Chapters Chapters 2-4 2-4 serve serve as as a a general general introduction introduction to to smoothing smoothing in in the the case case of of a a single single design design variable. variable. The The emphasis emphasis in in these these chapters chapters is is on on estimation estimation of of regression regression curves, curves, with with hardly hardly any any mention mention of of the the lack-of lack-of fit fit problem. problem. As As such, such, Chapters Chapters 2-4 2-4 could could be be used used as as the the foundation foundation of of a a graduate graduate level level statistics statistics course course on on nonparametric nonparametric regression. regression |
Beschreibung: | 1 Online-Ressource (XII, 288 p) |
ISBN: | 9781475727227 9781475727241 |
ISSN: | 0172-7397 |
DOI: | 10.1007/978-1-4757-2722-7 |
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institution | BVB |
isbn | 9781475727227 9781475727241 |
issn | 0172-7397 |
language | English |
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spelling | Hart, Jeffrey D. Verfasser aut Nonparametric Smoothing and Lack-of-Fit Tests by Jeffrey D. Hart New York, NY Springer New York 1997 1 Online-Ressource (XII, 288 p) txt rdacontent c rdamedia cr rdacarrier Springer Series in Statistics 0172-7397 The The primary primary aim aim of of this this book book is is to to explore explore the the use use of of nonparametric nonparametric regres regres sion sion (i. e. , (i. e. , smoothing) smoothing) methodology methodology in in testing testing the the fit fit of of parametric parametric regression regression models. models. It It is is anticipated anticipated that that the the book book will will be be of of interest interest to to an an audience audience of of graduate graduate students, students, researchers researchers and and practitioners practitioners who who study study or or use use smooth smooth ing ing methodology. methodology. Chapters Chapters 2-4 2-4 serve serve as as a a general general introduction introduction to to smoothing smoothing in in the the case case of of a a single single design design variable. variable. The The emphasis emphasis in in these these chapters chapters is is on on estimation estimation of of regression regression curves, curves, with with hardly hardly any any mention mention of of the the lack-of lack-of fit fit problem. problem. As As such, such, Chapters Chapters 2-4 2-4 could could be be used used as as the the foundation foundation of of a a graduate graduate level level statistics statistics course course on on nonparametric nonparametric regression. regression Statistics Statistics, general Statistik Regressionsmodell (DE-588)4127980-3 gnd rswk-swf Nichtparametrisches Verfahren (DE-588)4339273-8 gnd rswk-swf Güte der Anpassung (DE-588)4202143-1 gnd rswk-swf Regressionsmodell (DE-588)4127980-3 s Güte der Anpassung (DE-588)4202143-1 s Nichtparametrisches Verfahren (DE-588)4339273-8 s 1\p DE-604 https://doi.org/10.1007/978-1-4757-2722-7 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Hart, Jeffrey D. Nonparametric Smoothing and Lack-of-Fit Tests Statistics Statistics, general Statistik Regressionsmodell (DE-588)4127980-3 gnd Nichtparametrisches Verfahren (DE-588)4339273-8 gnd Güte der Anpassung (DE-588)4202143-1 gnd |
subject_GND | (DE-588)4127980-3 (DE-588)4339273-8 (DE-588)4202143-1 |
title | Nonparametric Smoothing and Lack-of-Fit Tests |
title_auth | Nonparametric Smoothing and Lack-of-Fit Tests |
title_exact_search | Nonparametric Smoothing and Lack-of-Fit Tests |
title_full | Nonparametric Smoothing and Lack-of-Fit Tests by Jeffrey D. Hart |
title_fullStr | Nonparametric Smoothing and Lack-of-Fit Tests by Jeffrey D. Hart |
title_full_unstemmed | Nonparametric Smoothing and Lack-of-Fit Tests by Jeffrey D. Hart |
title_short | Nonparametric Smoothing and Lack-of-Fit Tests |
title_sort | nonparametric smoothing and lack of fit tests |
topic | Statistics Statistics, general Statistik Regressionsmodell (DE-588)4127980-3 gnd Nichtparametrisches Verfahren (DE-588)4339273-8 gnd Güte der Anpassung (DE-588)4202143-1 gnd |
topic_facet | Statistics Statistics, general Statistik Regressionsmodell Nichtparametrisches Verfahren Güte der Anpassung |
url | https://doi.org/10.1007/978-1-4757-2722-7 |
work_keys_str_mv | AT hartjeffreyd nonparametricsmoothingandlackoffittests |