Copula Function and Measures of Association

Copulas allow expressing multivariate distributions in terms of their marginal distributions and multivariate dependence structure. Copulas are a very popular tool and are widely applied. In this paper, we use the copula function for computing some measures of association between two random variables from various copulas. Then we compare these measures numerically and graphically. Finally, by examining a real data, the role of a copula function in estimating measures of association has been investigated