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Article: Estimation of nonparametric regression models with a mixture of Berkson and classical errors

TitleEstimation of nonparametric regression models with a mixture of Berkson and classical errors
Authors
Issue Date2013
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/stapro
Citation
Statistics & Probability Letters, 2013, v. 83 n. 4, p. 1151-1162 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/191509
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorYin, Zen_US
dc.contributor.authorGao, Wen_US
dc.contributor.authorTang, MLen_US
dc.contributor.authorTian, Gen_US
dc.date.accessioned2013-10-15T07:05:49Z-
dc.date.available2013-10-15T07:05:49Z-
dc.date.issued2013en_US
dc.identifier.citationStatistics & Probability Letters, 2013, v. 83 n. 4, p. 1151-1162en_US
dc.identifier.urihttp://hdl.handle.net/10722/191509-
dc.languageengen_US
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/staproen_US
dc.relation.ispartofStatistics & Probability Lettersen_US
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Statistics & Probability Letters. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Statistics & Probability Letters, 2013, v. 83 n. 4, p. 1151-1162. DOI: 10.1016/j.spl.2013.01.013-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleEstimation of nonparametric regression models with a mixture of Berkson and classical errorsen_US
dc.typeArticleen_US
dc.identifier.emailTian, G: gltian@hku.hken_US
dc.identifier.authorityTian, G=rp00789en_US
dc.description.naturepostprint-
dc.identifier.doi10.1016/j.spl.2013.01.013-
dc.identifier.hkuros226000en_US
dc.identifier.volume83en_US
dc.identifier.issue4en_US
dc.identifier.spage1151en_US
dc.identifier.epage1162en_US
dc.identifier.isiWOS:000317090600026-

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