Characterizations of degree one bivariate measures of concordance
AbstractWe call a measure of concordance [kappa] of an ordered pair (X,Y) of two continuous random variables a bivariate measure of concordance. This [kappa] may be considered to be a function [kappa](C) of the copula C associated with (X,Y). [kappa] is considered to be of degree n if, given any two copulas A and B, the value of their convex sum, [kappa](tA+(1-t)B), is a polynomial in t of degree n. Examples of bivariate measures of concordance are Spearman's rho, Blomqvist's beta, Gini's measure of association, and Kendall's tau. The first three of these are of degree one, but Kendall's tau is of degree two. We exhibit three characterizations of bivariate measures of concordance of degree one.
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Bibliographic InfoArticle provided by Elsevier in its journal Journal of Multivariate Analysis.
Volume (Year): 100 (2009)
Issue (Month): 8 (September)
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- Joe, Harry, 1990. "Multivariate concordance," Journal of Multivariate Analysis, Elsevier, vol. 35(1), pages 12-30, October.
- M. Taylor, 2007. "Multivariate measures of concordance," Annals of the Institute of Statistical Mathematics, Springer, vol. 59(4), pages 789-806, December.
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