期刊名称：Electronic Journal of Applied Statistical Analysis
电子版ISSN：2070-5948
出版年度：2013
卷号：6
期号：2
页码：130-148
DOI：10.1285/i20705948v6n2p130
语种：English
出版社：University of Salento
摘要：In this paper, we propose maximum likelihood estimators and Bayes estimators of parameters of exponentiated Pareto distribution under general Entropy loss function and squared error loss function for Progressive type-II censored data with binomial removals. The maximum likelihood estimators and corresponding Bayes estimators are compared in terms of their risks based on simulated samples from exponentiated Pareto distribution.
关键词：Exponentiated Pareto Distribution; General Entropy Loss Function; Progressive Type-II Censored Data
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