A Power Comparison Between Nonparametric Regression Tests

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DC Field	Value	Language
dc.contributor.author	Dette, Holger	de
dc.contributor.author	Zhang, Chunming	de
dc.date.accessioned	2004-12-06T18:41:10Z	-
dc.date.available	2004-12-06T18:41:10Z	-
dc.date.issued	2003	de
dc.identifier.uri	http://hdl.handle.net/2003/4984	-
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-5479	-
dc.description.abstract	In 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.extent	176738 bytes	-
dc.format.extent	468032 bytes	-
dc.format.mimetype	application/pdf	-
dc.format.mimetype	application/postscript	-
dc.language.iso	en	de
dc.publisher	Universitätsbibliothek Dortmund	de
dc.subject	goodness-of-fit	en
dc.subject	local alternative	en
dc.subject	local polynomial regression	en
dc.subject	power	en
dc.subject	smoothing parameter	en
dc.subject.ddc	310	de
dc.title	A Power Comparison Between Nonparametric Regression Tests	en
dc.type	Text	de
dc.type.publicationtype	report	en
dcterms.accessRights	open access	-
Appears in Collections:	Sonderforschungsbereich (SFB) 475

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