Bayesian Estimation of Parameters in the Exponentiated Gumbel Distribution
Gholamhossein Gholami, ارومیه · Journal of Statistical Research of Iran · 2017
The Exponentiated Gumbel (EG) distribution has been proposed to capture some aspects of the data that the Gumbel distribution fails to specify.In this paper, we estimate the EG's parameters in the Bayesian framework.We consider a 2-level hierarchical structure for prior distribution.As the posterior distributions do not admit a closed form, we do an approximated inference by using Gibbs and Metropolis-Hastings algorithm.