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In this paper, we investigate a new model based on Burr X and Frechet distribution for extreme values and derive some of its properties. Maximum likelihood estimation along with asymptotic confidence intervals is considered for estimating the parameters of the distribution. We demonstrate empirically the flexibility of the distribution in modeling various types of real data. Furthermore, we also provide Bayes estimators and highest posterior density intervals of the parameters of the distribution using Markov Chain Monte Carlo (MCMC) methods.

The Burr X FrÃ©chet Model for Extreme Values: Mathematical Properties, Classical Inference and Bayesian Analysis