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dc.creatorFernández Ponce, José Maríaes
dc.creatorSuárez Llorens, Alfonsoes
dc.date.accessioned2016-05-25T07:07:54Z
dc.date.available2016-05-25T07:07:54Z
dc.date.issued2002
dc.identifier.citationFernández Ponce, J.M. y Suárez Llorens, A. (2002). Central regions for bivariate distributions. Austrian Journal of Statistics, 31 (2 & 3), 141-156.
dc.identifier.issn1026-597Xes
dc.identifier.urihttp://hdl.handle.net/11441/41562
dc.description.abstractFor a one-dimensional probability distribution, the classical concept of central region as a real interquantile interval arises in all applied sciences. We can find applications, for instance, with dispersion, skewness and detection of outliers. All authors agree with the main problem in a multivariate generalization: there does not exist a natural ordering in n-dimensions, n > 1. Because of this reason, the great majority of these generalizations depend on their use. We can say that is common to generalize the concept of central region under the definition of the well known concept of spatial median. In our work, we develop an intuitive concept which can be interpreted as level curves for distribution functions and this one provides a trimmed region. Properties referred to dispersion and probability are also studied and some considerations on more than two dimensions are also considered. Furthermore, several estimations for bivariate data based on conditional quantiles are discussed.es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherÖsterreichische Statistische Gesellschaftes
dc.relation.ispartofAustrian Journal of Statistics, 31 (2 & 3), 141-156.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectSpatial Quantilees
dc.subjectCentral Regiones
dc.subjectConditional Quantilees
dc.titleCentral regions for bivariate distributionses
dc.typeinfo:eu-repo/semantics/articlees
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Estadística e Investigación Operativaes
idus.format.extent16 p.es
dc.journaltitleAustrian Journal of Statisticses
dc.publication.volumen31es
dc.publication.issue2 & 3es
dc.publication.initialPage141es
dc.publication.endPage156es
dc.identifier.idushttps://idus.us.es/xmlui/handle/11441/41562

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