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dc.creatorFernández Ponce, José Maríaes
dc.creatorPellerey, Francoes
dc.creatorRodríguez Griñolo, María del Rosarioes
dc.date.accessioned2016-09-09T07:20:07Z
dc.date.available2016-09-09T07:20:07Z
dc.date.issued2011-12-01
dc.identifier.citationFernández Ponce, J.M., Pellerey, F. y Rodríguez Griñolo, M.d.R. (2011). On a new NBUE property in multivariate sense: an application. Computational Statistics & Data Analysis, 55 (12), 3283-3294.
dc.identifier.issn0167-9473es
dc.identifier.issn1872-7352es
dc.identifier.urihttp://hdl.handle.net/11441/44840
dc.description.abstractMultivariate lifetime data frequently arise so it is important to consider different multivariate distributions that could be used to model aging concepts. The generalization of univariate versions has two main problems. One of them is the concept of the multivariate quantile and the other one is that the survival function valued at a multivariate quantile depends on the underlying distributions. For this reason, a new multivariate aging concept based on the upper corrected orthant is developed. This new multivariate aging is a generalization of the New Better than Used in Expectation univariate version and a characterization by using the multivariate excess wealth function is provided. Finally, data from the Comprehensive Cohort Study performed by the German Breast Cancer Study Group are analysed in order to estimate the parameters in a non-deterministic model which describes the tumor growth and to realize how this new multivariate ageing notion influences in the final results.es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofComputational Statistics & Data Analysis, 55 (12), 3283-3294.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMultivariate aginges
dc.subjectExcess wealth functiones
dc.subjectMultivariate u-quantileses
dc.subjectUpper corrected orthantses
dc.subjectTumor growthes
dc.titleOn a new NBUE property in multivariate sense: an applicationes
dc.typeinfo:eu-repo/semantics/articlees
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Estadística e Investigación Operativaes
dc.relation.publisherversionhttp://ac.els-cdn.com/S0167947311002131/1-s2.0-S0167947311002131-main.pdf?_tid=9935c942-765d-11e6-b963-00000aacb35d&acdnat=1473405685_c1b62b4f9fe70955289abd4942de5f3ees
dc.identifier.doi10.1016/j.csda.2011.06.010es
dc.contributor.groupUniversidad de Sevilla. FQM328: Metodos Cuantitativos en Evaluaciones
idus.format.extent17 p.es
dc.journaltitleComputational Statistics & Data Analysises
dc.publication.volumen55es
dc.publication.issue12es
dc.publication.initialPage3283es
dc.publication.endPage3294es
dc.identifier.idushttps://idus.us.es/xmlui/handle/11441/44840

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