Multivariate Data Imputation using Trees

Bárcena Ruiz, María Jesús; Tusell Palmer, Fernando Jorge

dc.contributor.author	Bárcena Ruiz, María Jesús
dc.contributor.author	Tusell Palmer, Fernando Jorge
dc.date.accessioned	2011-12-23T12:36:13Z
dc.date.available	2011-12-23T12:36:13Z
dc.date.issued	2002
dc.identifier.issn	1134-8984
dc.identifier.uri	http://hdl.handle.net/10810/5728
dc.description.abstract	We 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.sponsorship	We thank for support the Spanish MEC (grant PB98-0149).	es
dc.language.iso	eng	es
dc.relation.ispartofseries	Biltoki 2002.05
dc.rights	info:eu-repo/semantics/openAccess	es
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/3.0/	*
dc.subject	file completion	es
dc.subject	data imputation	es
dc.subject	regression trees	es
dc.title	Multivariate Data Imputation using Trees	es
dc.type	info:eu-repo/semantics/workingPaper	es
dc.rights.holder	Attribution-NonCommercial-ShareAlike 3.0 Unported	*
dc.subject.jel	C14	es
dc.subject.jel	C12
dc.identifier.repec	RePEc:ehu:biltok:200205	es
dc.departamentoes	Economía aplicada III (Econometría y Estadística)	es_ES
dc.departamentoeu	Ekonomia aplikatua III (ekonometria eta estatistika)	es_ES
dc.subject.categoria	MATHEMATICAL AND QUANTITATIVE METHODS

Files in this item

Name:: 2002.05.pdf
Size:: 162.6Kb
Format:: PDF

View/Open

Name:: license_url
Size:: 49bytes
Format:: Text file

View/Open

This item appears in the following Collection(s)

Biltoki

Show simple item record

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