Estimation of Parameters of Exponentiated Pareto Distribution for Progressive Type-II Censored Data with Binomial Random Removals Scheme

被引：4
|
作者：
Singh, Sanjay Kumar [1 ,2 ]
Singh, Umesh [1 ,2 ]
Kumar, Manoj [1 ,2 ]
Singh, G. P. [3 ,4 ]
机构：
[1] Bananas Hindu Univ, Dept Stat, Varanasi 221005, Uttar Pradesh, India
[2] Bananas Hindu Univ, DST CIMS, Varanasi 221005, Uttar Pradesh, India
[3] Bananas Hindu Univ, IMS, Dept Community Med, Varanasi 221005, Uttar Pradesh, India
[4] Bananas Hindu Univ, DST CIMS, Varanasi 221005, Uttar Pradesh, India
来源：
ELECTRONIC JOURNAL OF APPLIED STATISTICAL ANALYSIS | 2013年 / 6卷 / 02期
关键词：
Maximum likelihood estimators; exponentiated Pareto distribution under general Entropy loss function; Progressive type-II censored data with binomial removals;
D O I：
10.1285/i20705948v6n2p130
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
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.
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页码：130 / 148
页数：19
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