This paper is concerned with the problem of finding the minimax estimators of the parameter of the Maxwell distribution (MW) for quadratic loss functions by applying the theorem of Lehmann [1950]. Through simulation study the performance of this method compared with the classical methods...

In this paper, we obtained Basyian estimators of the shape parameter of the Pareto type I distribution using Bayian method under Generalized square error loss function and Quadratic loss function. In order to get better understanding of our Bayesian analysis we consider non-informative prior for...

In this paper, we obtained some Bayesian estimators of the parameter of an Inverse Rayleigh distribution under three different loss functions, represented by Quadratic loss function, Quasi-quadratic loss function and Generalized square error loss function. In order to get a better understanding...

In this paper, we obtained Basyian estimators of the shape parameter of the Pareto type I distribution using Bayian method under Generalized square error loss function and Quadratic loss function. In order to get better understanding of our Bayesian analysis we consider non-informative prior for...

In this paper we derived some Bayesian estimators of the scale parameter for the Laplace distribution under different loss function including the squared log error loss function, Quadratic loss function and Entropy loss function. Also some classical estimators have been obtained, such as Maximum...