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dc.contributor.author Delicado, Pedro
dc.contributor.author del Río, Manuel
dc.contributor.other Universitat Pompeu Fabra. Departament d'Economia i Empresa
dc.date.accessioned 2017-07-26T10:50:03Z
dc.date.available 2017-07-26T10:50:03Z
dc.date.issued 1996-03-01
dc.identifier https://econ-papers.upf.edu/ca/paper.php?id=164
dc.identifier.citation Communications in Statistics. Theory and methods, 26(12), 2983-2998, 1997
dc.identifier.uri http://hdl.handle.net/10230/322
dc.description.abstract In the fixed design regression model, additional weights are considered for the Nadaraya--Watson and Gasser--M\"uller kernel estimators. We study their asymptotic behavior and the relationships between new and classical estimators. For a simple family of weights, and considering the IMSE as global loss criterion, we show some possible theoretical advantages. An empirical study illustrates the performance of the weighted estimators in finite samples.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.relation.ispartofseries Economics and Business Working Papers Series; 164
dc.rights L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.title Weighted Kernel regression
dc.title.alternative Weighted nonparametric regression
dc.type info:eu-repo/semantics/workingPaper
dc.date.modified 2017-07-23T02:02:31Z
dc.subject.keyword asymptotic behavior
dc.subject.keyword fixed design
dc.subject.keyword nonparametric regression
dc.subject.keyword smoothing
dc.subject.keyword Statistics, Econometrics and Quantitative Methods
dc.rights.accessRights info:eu-repo/semantics/openAccess


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