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dc.contributor.authorBárcena Ruiz, María Jesús
dc.contributor.authorTusell Palmer, Fernando Jorge
dc.date.accessioned2011-12-23T12:36:13Z
dc.date.available2011-12-23T12:36:13Z
dc.date.issued2002
dc.identifier.issn1134-8984
dc.identifier.urihttp://hdl.handle.net/10810/5728
dc.description.abstractWe address the problem of completing two files with records containing a fully observed common subset of variables. The tecnique investigated involves the use of regression and/or classification trees. An extension of current methodology (the intersection-seeking or "forest-climbing" algorithm) is proposed to deal with multivariate response variables. The method is demonstrated and shown to be feasible and have some desirable properties.es
dc.description.sponsorshipWe thank for support the Spanish MEC (grant PB98-0149).es
dc.language.isoenges
dc.relation.ispartofseriesBiltoki 2002.05
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/*
dc.subjectfile completiones
dc.subjectdata imputationes
dc.subjectregression treeses
dc.titleMultivariate Data Imputation using Treeses
dc.typeinfo:eu-repo/semantics/workingPaperes
dc.rights.holderAttribution-NonCommercial-ShareAlike 3.0 Unported*
dc.subject.jelC14es
dc.subject.jelC12
dc.identifier.repecRePEc:ehu:biltok:200205es
dc.departamentoesEconomía aplicada III (Econometría y Estadística)es_ES
dc.departamentoeuEkonomia aplikatua III (ekonometria eta estatistika)es_ES
dc.subject.categoriaMATHEMATICAL AND QUANTITATIVE METHODS


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Attribution-NonCommercial-ShareAlike 3.0 Unported
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 3.0 Unported