For many years there has been interest in families of bivariate distributions with the marginals as parameters. Questions of this kind arise if one is to build a stochastic model in a situation where one has some idea about the dependence structure and marginal distributions. In this article, among all bivariate distributions which satisfy the constraints imposed by the known marginals and/or dependence structure, one that has the maximum entropy is obtained by using iterative procedure, and its convergence is proved.