  In this paper, we propose simple estimation methods dedicated to a
semiparametric family of bivariate copulas. These copulas can be simply
estimated through the estimation of their univariate generating function. We
take profit of this result to estimate the associated measures of association
as well as the high probability regions of the copula. These procedures are
illustrated on simulations and on real data.
