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dc.contributor.authorFerreira García, Eva
dc.contributor.authorNúñez Antón, Vicente
dc.contributor.authorRodríguez Poo, Juan Manuel 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2014-05-16T12:16:49Z
dc.date.available2014-05-16T12:16:49Z
dc.date.issued1999
dc.identifier.issn1134-8984
dc.identifier.urihttp://hdl.handle.net/10902/4639
dc.description.abstractIn the analysis of longitudinal data it is of main interest to investigate the existence of group and individual effects under correlated observations across time. In this paper, we develop a nonparametric two-step procedure that enables us to estimate group effects under a very general form of correlation across time. Moreover, we propose several methods to estimate the bandwidth and show their asymptotyc optimality. Since the asymptotic distribution is untractable, we develop a randomization test that is suitable for testing the group effects. Finally, we apply the estimation procedure, the bandwidth selection criteria and the randomization test to the data from the Iowa Cochlear Implant Project.es_ES
dc.format.extent30 p.es_ES
dc.language.isoenges_ES
dc.publisherUniversidad del País Vascoes_ES
dc.rights© Eva Ferreira García © Vicente Núñez Antón © Juan Manuel Rodríguez Pooes_ES
dc.sourceDocumentos de Trabajo BILTOKI, ISSN-e 1134-8984, Nº. 1, 1999es_ES
dc.subject.otherKernel estimationes_ES
dc.subject.otherBandwidth selectiones_ES
dc.subject.otherNonstationary errorses_ES
dc.subject.otherGroup effectses_ES
dc.subject.otherRandomization testes_ES
dc.titleTwo-stage nonparametric regression for longitudinal dataes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsopenAccesses_ES
dc.type.versionpublishedVersiones_ES


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