Characterizations of degree one bivariate measures of concordance
We 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.
Volume (Year): 100 (2009)
Issue (Month): 8 (September)
|Contact details of provider:|| Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/622892/description#description|
|Order Information:|| Postal: http://www.elsevier.com/wps/find/supportfaq.cws_home/regional|
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- M. Taylor, 2007. "Multivariate measures of concordance," Annals of the Institute of Statistical Mathematics, Springer, vol. 59(4), pages 789-806, December.
- Joe, Harry, 1990. "Multivariate concordance," Journal of Multivariate Analysis, Elsevier, vol. 35(1), pages 12-30, October.
When requesting a correction, please mention this item's handle: RePEc:eee:jmvana:v:100:y:2009:i:8:p:1777-1791. See general information about how to correct material in RePEc.
If references are entirely missing, you can add them using this form.