A Power Comparison Between Nonparametric Regression Tests

dc.contributor.authorDette, Holgerde
dc.contributor.authorZhang, Chunmingde
dc.date.accessioned2004-12-06T18:41:10Z
dc.date.available2004-12-06T18:41:10Z
dc.date.issued2003de
dc.description.abstractIn this paper, we consider three major types of nonparametric regression tests that are based on kernel and local polynomial smoothing techniques. Their asymptotic power comparisons are established systematically under the fixed and contiguous alternatives, and are also illustrated through non-asymptotic investigations and finite-sample simulation studies.en
dc.format.extent176738 bytes
dc.format.extent468032 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/2003/4984
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-5479
dc.language.isoende
dc.publisherUniversitätsbibliothek Dortmundde
dc.subjectgoodness-of-fiten
dc.subjectlocal alternativeen
dc.subjectlocal polynomial regressionen
dc.subjectpoweren
dc.subjectsmoothing parameteren
dc.subject.ddc310de
dc.titleA Power Comparison Between Nonparametric Regression Testsen
dc.typeTextde
dc.type.publicationtypereporten
dcterms.accessRightsopen access

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