Comparing Some Estimators of the Parameter of Basic Gompertz distribution

Abstract

In this paper, some estimators for the unknown shape parameter of Basic Gompertz distribution have been obtained, such as

Maximum likelihood estimator and Bayesian estimators under Generalized weighted loss function, using Gamma prior. All these

estimators have been compared empirically using Mont-Carlo simulation by employing the mean squared errors (MSE's). Finally, the

discussion is provided to illustrate the results that summarized in tables.