dc.creatorHenry, Guillermo Sebastian
dc.creatorRodriguez, Daniela Andrea
dc.date.accessioned2017-06-23T15:19:18Z
dc.date.accessioned2018-11-06T11:34:42Z
dc.date.available2017-06-23T15:19:18Z
dc.date.available2018-11-06T11:34:42Z
dc.date.created2017-06-23T15:19:18Z
dc.date.issued2014
dc.identifierHenry, Guillermo Sebastian; Rodriguez, Daniela Andrea; Robust estimators in partly linear regression models on Riemannian manifolds ; Taylor; Communications In Statistics-theory And Methods; -1-2014; 1-16
dc.identifier0361-0926
dc.identifierhttp://hdl.handle.net/11336/18733
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1855069
dc.description.abstractUnder a partly linear model we study a family of robust estimates for the regression parameter and the regression function when some of the predictors take values on a Riemannian manifold. We obtain the consistency and the asymptotic normality of the proposed estimators. Simulations and an application to a real dataset show the good performance of our proposal under small samples and contamination.
dc.languageeng
dc.publisherTaylor
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1080/03610926.2013.775302
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://www.tandfonline.com/doi/full/10.1080/03610926.2013.775302
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://arxiv.org/abs/1008.0446
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectPartial linear model
dc.subjectRobust estimators
dc.subjectRiemannian Manifolds
dc.titleRobust estimators in partly linear regression models on Riemannian manifolds
dc.typeArtículos de revistas
dc.typeArtículos de revistas
dc.typeArtículos de revistas


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