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Robust methods of building regression models : an application to the housing sector

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dc.affiliation.dptoUC3M. Departamento de Economíaes
dc.contributor.authorRuiz-Castillo, Javier
dc.contributor.authorPeña, Daniel
dc.date.accessioned2009-07-14T14:04:00Z
dc.date.accessioned2010-10-20T11:42:33Z
dc.date.available2009-07-14T14:04:00Z
dc.date.available2010-10-20T11:42:33Z
dc.date.issued1984-01
dc.description.abstractThis article studies robustification strategies for the linear model in the presence of outliers. The advantages of an internal analysis of the robustness of least squares for a given sample are pointed out. The application of this methodology is illustrated by building an explicit model of the determinants of rental housing values in the Madrid Metropolitan Area.
dc.description.statusPublicado
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.identifier.bibliographicCitationJournal of Business and Economic Statistics, 1984, v. 2, n. 1, pp. 10-20
dc.identifier.issn0735-0015
dc.identifier.publicationfirstpage7
dc.identifier.publicationlastpage12
dc.identifier.publicationtitleJournal of Business and Economic Statistics
dc.identifier.publicationvolume8
dc.identifier.publicationvolume1
dc.identifier.urihttps://hdl.handle.net/10016/4765
dc.language.isoeng
dc.publisherAmerican Statistical Association
dc.relation.publisherversionhttp://www.jstor.org/stable/1391351
dc.rights.accessRightsopen access
dc.subject.ecienciaEconomía
dc.subject.otherOutliers
dc.subject.otherInfluential observations
dc.subject.otherRobust regression
dc.subject.otherCook distance
dc.subject.otherHedonic price function
dc.subject.otherHousing market
dc.titleRobust methods of building regression models : an application to the housing sector
dc.typeresearch article*
dc.type.reviewPeerReviewed
dspace.entity.typePublication
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