and distribution of the product for two or more random variables via copulas to capture the dependence structures among … density and distribution of the product for two log-normal random variables on several different copulas, including Gaussian …, Student-t, Clayton, Gumbel, Frank, and Joe Copulas, and estimate some common measures including Kendall's coefficient, mean …

of two dependent or independent random variables X1 and X2 by using copulas to capture the structures between X1 and X2 … two dependent normal random variables X1 and X2 in the case of Gaussian copulas. We then develop the theory on the median … Z to a larger family of symmetric distributions and symmetric copulas of X1 and X2 . Our results are the foundation of …

and distribution of the product for two or more random variables via copulas to capture the dependence structures among … density and distribution of the product for two log-normal random variables on several different copulas, including Gaussian …, Student-t, Clayton, Gumbel, Frank, and Joe Copulas, and estimate some common measures including Kendall’s coefficient, mean …

of two dependent or independent random variables X1 and X2 by using copulas to capture the structures between X1 and X2 … two dependent normal random variables X1 and X2 in the case of Gaussian copulas. We then develop the theory on the median … Z to a larger family of symmetric distributions and symmetric copulas of X1 and X2 . Our results are the foundation of …