Abstract
In this work we propose a new bivariate survival model based on Farlie-Gumbel-Morgenstern (FGM) copula with marginals following A distribution to model complete data or in the presence of censored observations. For inferential purposes, we carry out a Bayesian approach using Markov chain Monte Carlo (MCMC) methods. In order to detect possible influential we will use the Bayesian method of…