The article shows that when we know how variables are related (copula), we can estimate their individual behaviors (marginal distributions) more accurately. By using this knowledge in a new way, we can improve our estimates compared to traditional methods. This approach works best when the variables are independent. This study helps us understand how to better analyze data when we know some relationships between variables.