Bayesian estimation and prediction for a mixture of exponentiated Kumaraswamy distributions

摘要

This paper deals with the Bayesian estimation of the vector of parameters of the finite mixture of two-component exponentiated Kumaraswamy distribution, denoted by MEKum, when considering complete samples. In addition, Bayesian predictive density functions of future observations from the MEKum distribution, considering two cases, are obtained.