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Article: Model checking of dimension-reduction type for regression

TitleModel checking of dimension-reduction type for regression
Authors
KeywordsBootstrap approximation
dimension-reduction
empirical process
model checking
residual plot
Issue Date2003
PublisherAcademia Sinica, Institute of Statistical Science. The Journal's web site is located at http://www.stat.sinica.edu.tw/statistica/
Citation
Statistica Sinica, 2003, v. 13 n. 2, p. 283-296 How to Cite?
AbstractResidual analysis is a commonly used technique for model checking in regression. However the problem gets more complicated when the dimension of covariate is high because it is difficult to see what the residuals should be plotted against. In this paper, we propose a simple search for a good projection direction for plotting and for constructing a lack-of-fit test. We also investigate the bootstrap approximation for computing p-values.
Persistent Identifierhttp://hdl.handle.net/10722/45358
ISSN
2023 Impact Factor: 1.5
2023 SCImago Journal Rankings: 1.368

 

DC FieldValueLanguage
dc.contributor.authorZhu, Len_HK
dc.date.accessioned2007-10-30T06:23:42Z-
dc.date.available2007-10-30T06:23:42Z-
dc.date.issued2003en_HK
dc.identifier.citationStatistica Sinica, 2003, v. 13 n. 2, p. 283-296en_HK
dc.identifier.issn1017-0405en_HK
dc.identifier.urihttp://hdl.handle.net/10722/45358-
dc.description.abstractResidual analysis is a commonly used technique for model checking in regression. However the problem gets more complicated when the dimension of covariate is high because it is difficult to see what the residuals should be plotted against. In this paper, we propose a simple search for a good projection direction for plotting and for constructing a lack-of-fit test. We also investigate the bootstrap approximation for computing p-values.en_HK
dc.format.extent243254 bytes-
dc.format.extent1940 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherAcademia Sinica, Institute of Statistical Science. The Journal's web site is located at http://www.stat.sinica.edu.tw/statistica/en_HK
dc.subjectBootstrap approximationen_HK
dc.subjectdimension-reductionen_HK
dc.subjectempirical processen_HK
dc.subjectmodel checkingen_HK
dc.subjectresidual ploten_HK
dc.titleModel checking of dimension-reduction type for regressionen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1017-0405&volume=13&issue=2&spage=283&epage=296&date=2003&atitle=Model+checking+of+dimension-reduction+type+for+regressionen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.scopuseid_2-s2.0-0038383116-
dc.identifier.hkuros80191-
dc.identifier.issnl1017-0405-

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