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Local dependence functions for extreme value distributions

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Author Info
Saralees Nadarajah
Kosto Mitov
Samuel Kotz
Abstract

Kotz & Nadarajah (2002) introduced a measure of local dependence which is a localized version of the Pearson's correlation coefficient. In this paper we provide detailed analyses (both algebraic and numerical) of the form of the measure for the class of bivariate extreme value distributions. We consider, in particular, five families of bivariate extreme value distributions. We also discuss two applications of the new measure. In the first application we introduce an overall measure of correlation and produce evidence to suggest that it is superior than the usual Pearson's correlation coefficient. The second application introduces two new concepts for ordering of bivariate dependence.

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Article provided by Taylor and Francis Journals in its journal Journal of Applied Statistics.

Volume (Year): 30 (2003)
Issue (Month): 10 (December)
Pages: 1081-1100
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Handle: RePEc:taf:japsta:v:30:y:2003:i:10:p:1081-1100

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  1. Cees Diks & Florian Wagener, 2006. "A Weak Bifurcation Theory for Discrete Time Stochastic Dynamical Systems," Tinbergen Institute Discussion Papers 06-043/1, Tinbergen Institute. [Downloadable!]
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  2. Cees Diks & Florian Wagener, 2005. "Equivalence and Bifurcations of Finite Order Stochastic Processes," Tinbergen Institute Discussion Papers 05-043/1, Tinbergen Institute. [Downloadable!]
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