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Diagnostics and robust estimation in multivariate data transformations

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dc.affiliation.dptoUC3M. Departamento de Estadísticaes
dc.contributor.authorVelilla Cerdan, Santiago
dc.contributor.editorUniversidad Carlos III de Madrid. Departamento de Estadísticaes
dc.date.accessioned2009-02-20T12:36:58Z
dc.date.available2009-02-20T12:36:58Z
dc.date.issued1993-11
dc.description.abstractThis paper presents a method for detecting multivariate outliers which might be distorting theı estimation of a transformation to normality. A robust estimator of the transformation parameter is also proposed.es
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/10016/3739
dc.language.isoenges
dc.relation.ispartofseriesUC3M Working Papers. Statistics and Econometricses
dc.relation.ispartofseries1993-39-25es
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.ecienciaEstadística
dc.subject.otherLikelihood displacementes
dc.subject.otherMultivariate Box-Cox transformationes
dc.subject.otherS estimatorses
dc.titleDiagnostics and robust estimation in multivariate data transformationses
dc.typeworking paper*
dspace.entity.typePublication
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