The Bayesian estimate of the survival function for A Three-Parameter Lindley Distribution Under Squared Error Loss Function

Abstract

In this research was to estimate the  function of a Three Parameter Lindely distribution using the Standard Bayes Method, These estimators are obtained depending on squared error and General Entropy loss function, but to reach a competent way of appreciation were employed style of Monte Carlo simulation in a way was the use of sampling sizes (10,25,50,75,100) , results showed that the Hierarchical  Bayesian Estimator Under Squared Error Loss Function are competent in the estimate of the  distribution function Lindely  for most of the default values, using the statistical measure of the(IMSE).