dc.creatorBianco, Ana Maria
dc.creatorBoente Boente, Graciela Lina
dc.creatorGonzalez Manteiga, Wenceslao
dc.creatorPerez Gonzalez, Ana
dc.date.accessioned2017-04-06T20:42:29Z
dc.date.accessioned2018-11-06T13:14:47Z
dc.date.available2017-04-06T20:42:29Z
dc.date.available2018-11-06T13:14:47Z
dc.date.created2017-04-06T20:42:29Z
dc.date.issued2011-11
dc.identifierBianco, Ana Maria; Boente Boente, Graciela Lina; Gonzalez Manteiga, Wenceslao; Perez Gonzalez, Ana; Asymptotic behavior of robust estimators in partially linear models with missing responses: The effect of estimating the missing probability on the simplified marginal estimators; Springer; Test; 20; 3; 11-2011; 524-548
dc.identifier1133-0686
dc.identifierhttp://hdl.handle.net/11336/14906
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1873406
dc.description.abstractIn this paper, we consider a semiparametric partially linear regression model where missing data occur in the response. We derive the asymptotic behavior of the robust estimators for the regression parameter and of the weighted simplified location estimator introduced in Bianco et al. (Comput. Stat. Data Anal. 54:546–564, 2010a). For the latter, consistency results and the asymptotic distribution are derived when the missing probability is known and also when it is estimated.
dc.languageeng
dc.publisherSpringer
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://link.springer.com/article/10.1007/s11749-010-0216-0
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s11749-010-0216-0
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectFisher-consistency
dc.subjectKernel weights
dc.subjectM-location functionals
dc.subjectMissing at random
dc.subjectNonparametric regression
dc.subjectRobust estimation
dc.titleAsymptotic behavior of robust estimators in partially linear models with missing responses: The effect of estimating the missing probability on the simplified marginal estimators
dc.typeArtículos de revistas
dc.typeArtículos de revistas
dc.typeArtículos de revistas


Este ítem pertenece a la siguiente institución