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Asymptotic properties of Local Polynomial regression with missing data and correlated errors

dc.contributor.authorPérez González, A.
dc.contributor.authorVilar, Juan M.
dc.contributor.authorGonzález Manteiga, Wenceslao
dc.date.accessioned2007-07-03T15:42:43Z
dc.date.available2007-07-03T15:42:43Z
dc.date.issued2007
dc.identifier.citationAparecerá en Annals of the Institute of Statistical Mathematicses_ES
dc.identifier.urihttp://hdl.handle.net/2183/863
dc.description.abstractThe main objective of this work is the nonparametric estimation of the regression function with correlated errors when observations are missing in the response variable. Two nonparametric estimators of the regression function are proposed. The asymptotic properties of these estimators are studied; expresions for the bias and the variance are obtained and the joint asymptotic normality is established. A simulation study is also included.es_ES
dc.description.sponsorshipGalicia. Consellería de Innovación, Industria e Comercio; PGIDT03PXIC10505PN
dc.description.sponsorshipGalicia. Consellería de Innovación, Industria e Comercio; PGIDT03PXIC20702PN
dc.description.sponsorshipMinisterio de Economía y Competitividad; MTM2005-00429
dc.description.sponsorshipMinisterio de Economía y Competitividad; MTM2005-00820
dc.format.mimetypeapplication/pdf
dc.language.isoenges_ES
dc.subjectLocal polynomial regressiones_ES
dc.subjectMissing Response and Correlated Errorses_ES
dc.titleAsymptotic properties of Local Polynomial regression with missing data and correlated errorses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES


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