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On Extreme Value Copulas with Given Concordance Measures

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cris.lastimport.scopus2024-02-12T20:27:12Z
dc.abstract.enThe dependence measures, like for example Kendall tau, Spearman rho, Blomquist beta or tail dependence coefficient, are the main numerical characterization of Bivariate Extreme Value Copulas. Such copulas are characterized by a function on the unit segment, called a Pickands dependence function, which is convex and comprised between two bounds. We identify the smallest possible compact sets containing the graphs of all Pickands dependence functions whose corresponding bivariate extreme-value copula has fixed values of given dependence measures. Moreover we provide the bounds for such bivariate extreme-value copulas.
dc.affiliationUniwersytet Warszawski
dc.contributor.authorJaworski, Piotr
dc.date.accessioned2024-01-29T02:00:34Z
dc.date.available2024-01-29T02:00:34Z
dc.date.issued2019
dc.description.financeNie dotyczy
dc.identifier.doi10.1007/978-3-030-19494-9_4
dc.identifier.urihttps://repozytorium.uw.edu.pl//handle/item/156955
dc.identifier.weblinkhttp://link.springer.com/content/pdf/10.1007/978-3-030-19494-9_4
dc.languageeng
dc.pbn.affiliationmathemathics
dc.publisher.ministerialSpringer
dc.relation.bookNew Trends in Aggregation Theory
dc.relation.pages29-46
dc.rightsClosedAccess
dc.sciencecloudnosend
dc.subject.enExtreme value copulas
dc.subject.enPickands functions
dc.subject.enKendall τ
dc.subject.enSpearman ρ
dc.subject.enTail dependence coefficient
dc.titleOn Extreme Value Copulas with Given Concordance Measures
dc.typeMonographChapter
dspace.entity.typePublication