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dc.creatorDiaz-Garcia J.A.spa
dc.creatorCaro-Lopera F.J.spa
dc.date.accessioned2015-10-09T13:17:48Z
dc.date.available2015-10-09T13:17:48Z
dc.date.created2014
dc.identifier.issn2331888spa
dc.identifier.urihttp://hdl.handle.net/11407/1344
dc.description.abstractThe statistical shape theory via QR decomposition and based on Gaussian and isotropic models is extended in this paper to the families of non-isotropic elliptical distributions. The new shape distributions are easily computable and then the inference procedure can be studied with the resulting exact densities. An application in Biology is studied under two Kotz models, the best distribution (non-Gaussian) is selected by using a modified Bayesian information criterion (BIC)*. © 2013 © 2013 Taylor & Francis.eng
dc.language.isoengspa
dc.relation.isversionofhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84892745443&partnerID=40&md5=2fadf0e458641ede8dccfa26895be5c6spa
dc.rightsinfo:eu-repo/semantics/restrictedAccessspa
dc.sourceScopusspa
dc.typeArticlespa
dc.typeinfo:eu-repo/semantics/articlespa
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccessspa
dc.contributor.affiliationDepartment of Statistics and Computation, Universidad Autónoma, Agraria Antonio Narro, 25350 Buenavista, Saltillo, Coahuila, Mexicospa
dc.contributor.affiliationDepartment of Basic Sciences, Universidad de Medellín, Carrera 87, No.30-65, of. 5-103, Medellín, Colombiaspa
dc.identifier.doi10.1080/02331888.2013.801973spa
dc.subject.keywordmaximum likelihood estimatorseng
dc.subject.keywordnon-central and non-isotropic shape densityeng
dc.subject.keywordQR decompositioneng
dc.subject.keywordshape theoryeng
dc.subject.keywordzonal polynomialseng
dc.relation.ispartofenStatistics, 2014, volume 48, issue 2, pp 456-472eng
dc.title.englishStatistical theory of shape under elliptical models via QR decompositioneng


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