Performance of translation approach for modeling correlated non-normal variables

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Impact of copulas for modeling bivariate distributions on system reliability (2013, methodology): “[20] investigated the performance of two commonly used translation approaches, in which the dependence structure between two random variables is modeled by the Gaussian copula based on their abilities to match the high order joint moments, joint PDFs, and component probabilities of failure.”
Copula-based approaches for evaluating slope reliability under incomplete probability information (2015, unknown): “Although the Nataf distribution provides a convenient way for dealing with the correlated non-normal variables, it essentially adopts a Gaussian copula for modeling the dependence structure among variables [22,23,17–19].”