Statistical theory of shape under elliptical models via QR decomposition

Vista sencilla de ítem
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.contributor.authorDiaz-Garcia J.A.
dc.contributor.authorCaro-Lopera F.J.
dc.date.accessioned2015-10-09T13:17:48Z
dc.date.available2015-10-09T13:17:48Z
dc.date.issued2014
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.identifier.doi10.1080/02331888.2013.801973
dc.identifier.issn2331888
dc.identifier.urihttps://hdl.handle.net/11407/1344
dc.language.isoeng
dc.relation.ispartofStatistics, 2014, volume 48, issue 2, pp 456-472eng
dc.relation.isversionofhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84892745443&partnerID=40&md5=2fadf0e458641ede8dccfa26895be5c6
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.sourceScopusspa
dc.subject.proposalmaximum likelihood estimatorseng
dc.subject.proposalnon-central and non-isotropic shape densityeng
dc.subject.proposalQR decompositioneng
dc.subject.proposalshape theoryeng
dc.subject.proposalzonal polynomialseng
dc.titleStatistical theory of shape under elliptical models via QR decomposition
dc.typeArticle
dc.type.driverinfo:eu-repo/semantics/article

Archivos

Colecciones

Indexados Scopus