Averaged Singular Integral Estimation as a Bias Reduction Technique

Delgado, Miguel A.; Vidal-Sanz, Jose M.

dc.contributor.author	Delgado, Miguel A.
dc.contributor.author	Vidal-Sanz, Jose M.
dc.date.accessioned	2009-05-29T11:55:57Z
dc.date.available	2009-05-29T11:55:57Z
dc.date.issued	2002
dc.identifier.bibliographicCitation	Journal of Multivariate Analysis. 2002, vol. 80, nº 1, p. 127-137
dc.identifier.issn	0047-259X
dc.identifier.uri	http://hdl.handle.net/10016/2453
dc.description.abstract	This paper proposes an averaged version of singular integral estimators, whose bias achieves higher rates of convergence under smoothing assumptions. We derive exact bias bounds, without imposing smoothing assumptions, which are a basis for deriving the rates of convergence under differentiability assumptions.
dc.format.mimetype	text/plain
dc.format.mimetype	application/pdf
dc.language.iso	eng
dc.language.iso	eng
dc.publisher	Elsevier
dc.rights	© Elsevier
dc.subject.other	global rates of convergence for the bias
dc.subject.other	singular integral estimators
dc.subject.other	generalized jackknife
dc.subject.other	bias reduction techniques
dc.title	Averaged Singular Integral Estimation as a Bias Reduction Technique
dc.type	article
dc.type.review	PeerReviewed
dc.description.status	Publicado
dc.relation.publisherversion	http://dx.doi.org/10.1006/jmva.2000.1978
dc.subject.eciencia	Economía
dc.identifier.doi	10.1006/jmva.2000.1978
dc.rights.accessRights	openAccess