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Using angles to identify concentrated multivariate outliers

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dc.affiliation.dptoUC3M. Departamento de Estadísticaes
dc.contributor.authorJuan, Jesús
dc.contributor.authorPrieto, Francisco J.
dc.date.accessioned2012-10-03T17:48:49Z
dc.date.available2012-10-03T17:48:49Z
dc.date.issued2001
dc.description.abstractThis article describes a procedure for the detection of multivariate outliers based on the analysis of certain angular properties of the observations. The method is simple, exploratory in nature, and particularly well suited for the detection of concentrated contamination patterns, in which the outliers appear to form a cluster, separated from the sample. It is shown that it presents good properties for the identification of contaminations on high-dimensional sample spaces and for high contamination levels, including some cases in which methods based on robust estimators (the minimum covariance determinant and minimum volume ellipsoid estimators, the Stahel–Donoho estimator, or other recent proposals) may fail. The use of the procedure is illustrated through several examples
dc.description.statusPublicado
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationTechnometrics, 2001, v. 43, n. 3, p. 311-322
dc.identifier.doi10.1198/004017001316975907
dc.identifier.issn0040-1706
dc.identifier.publicationfirstpage311
dc.identifier.publicationissue3
dc.identifier.publicationlastpage322
dc.identifier.publicationtitleTechnometrics
dc.identifier.publicationvolume43
dc.identifier.urihttps://hdl.handle.net/10016/15545
dc.language.isoeng
dc.publisherAmerican Statistical Association
dc.publisherAmerican Society for Quality
dc.relation.publisherversionhttp://dx.doi.org/10.1198/004017001316975907
dc.rights© American Society for Quality
dc.rights© American Statistical Association
dc.rights.accessRightsopen access
dc.subject.ecienciaEstadística
dc.subject.otherExploratory data analysis
dc.subject.otherQ-Q plot
dc.subject.otherRobust estimation
dc.titleUsing angles to identify concentrated multivariate outliers
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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