مشخصات پژوهش

عنوان	E-Bayesian and Hierarchical Bayesian Estimation in a Family of Distributions
نوع پژوهش	مقاله ارائه شده
کلیدواژه‌ها	E-Bayesian Estimation, Hierarchical Bayes, Pareto Distribution.
چکیده	In this paper, we deal with Bayesian, E-Bayesian and hierarchical Bayesian estimation in a family of distributions under a squared log error loss function. Specially, E-Bayesian and hierarchical Bayesian estimators for the shape parameter of a Pareto distribution is provided when the scale parameter is known. A monte carlo simulation is conducted for comparision of Bayes and E-Bayesian estimators. A real data set is used for illustrating the proposed estimators.
پژوهشگران	مهران نقی زاده قمی (نفر دوم)، آزاده کیاپور (نفر اول)