%0 Journal Article
%T Bayesian and E-Bayesian estimation for the Kumaraswamy distribution based on type-ii censoring
%A Hesham Reyad
%A Soha Othman Ahmed
%J -
%D 2016
%R 10.14419/ijams.v4i1.5750
%X This paper introduces the Bayesian and E-Bayesian estimation for the shape parameter of the Kumaraswamy distribution based on type-II censored schemes. These estimators are derived under symmetric loss function [squared error loss (SELF))] and three asymmetric loss functions [LINEX loss function (LLF), Degroot loss function (DLF) and Quadratic loss function (QLF)]. Monte Carlo simulation is performed to compare the E-Bayesian estimators with the associated Bayesian estimators in terms of Mean Square Error (MSE).
%U https://www.sciencepubco.com/index.php/IJAMS/article/view/5750