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dc.contributor.authorQuesada Molina, José Juan 
dc.contributor.authorÚbeda Flores, Manuel 
dc.date.accessioned2024-05-17T11:28:38Z
dc.date.available2024-05-17T11:28:38Z
dc.date.issued2024
dc.identifier.issn2075-1680
dc.identifier.urihttps://www.mdpi.com/2075-1680/13/4/275
dc.identifier.urihttp://hdl.handle.net/10835/16482
dc.description.abstractIn this paper, we introduce the concept of monotonicity according to a direction for a set of random variables. This concept extends well-known multivariate dependence notions, such as corner set monotonicity, and can be used to detect dependence in multivariate distributions not detected by other known concepts of dependence. Additionally, we establish relationships with other known multivariate dependence concepts, outline some of their salient properties, and provide several examples.es_ES
dc.language.isoenes_ES
dc.publisherMDPIes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMatemáticases_ES
dc.titleMonotonic random variables according to a directiones_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.3390/axioms13040275
dc.relation.projectIDPID2021-122657OB-I00es_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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