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Recombining dependent data: an Order Statistics

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dc.affiliation.dptoUC3M. Departamento de Estadísticaes
dc.contributor.authorÁlvarez, Adolfo
dc.contributor.authorPeña, Daniel
dc.contributor.editorUniversidad Carlos III de Madrid. Departamento de Estadísticaen
dc.date.accessioned2009-12-17T13:01:33Z
dc.date.available2009-12-17T13:01:33Z
dc.date.issued2009-12
dc.description.abstractThis article discusses the problem of forming groups from previously split data. Algorithms for Cluster Analysis like SAR proposed by Peña, Rodriguez and Tiao (2004), divide the sample into small very homogeneous groups and then recombine them to form the definitive data configuration. This kind of splitting leads to dependent data in the sense that the groups are disjoint, so no traditional homogeneity of means or variances tests can be used. We propose an alternative by using Order Statistics. Studying the distribution and some moments of linear combination of Order Statistics it is possible to recombine disjoint data groups when they merge into a sample from the same population.en
dc.format.mimetypeapplication/pdf
dc.identifier.repecws098526
dc.identifier.urihttps://hdl.handle.net/10016/6147
dc.language.isoengen
dc.relation.ispartofseriesUC3M Working papers. Statistics and Econometricsen
dc.relation.ispartofseries09-26en
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.ecienciaEstadísticaes
dc.subject.otherSARen
dc.subject.otherCluster Analysisen
dc.subject.otherOrder Statisticsen
dc.subject.otherL-statisticsen
dc.subject.otherBootstrappingen
dc.titleRecombining dependent data: an Order Statisticsen
dc.typeworking paper*
dspace.entity.typePublication
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