Estimation of parameters for exponentiated-Weibull family under type-II censoring scheme

被引:23
|
作者
Singh, U [1 ]
Gupta, PK [1 ]
Upadhyay, SK [1 ]
机构
[1] Banaras Hindu Univ, Dept Stat, Varanasi 221005, Uttar Pradesh, India
关键词
bayes estimators; generalized maximum likelihood estimator; maximum likelihood estimator; non-informative type priors; Type-II censoring; squared error loss function; LINEX loss function; risk;
D O I
10.1016/j.csda.2004.02.009
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Bayes and classical estimators have been obtained for two-parameter exponentiated-Weibull distribution when sample is available from type-II censoring scheme. Bayes estimators have been developed under squared error loss function as well as under LINEX loss function using non-informative type of priors for the parameters. Besides, the generalized maximum likelihood estimators and the usual maximum likelihood estimators have also been attempted. It has been seen that the estimators obtained are not available in nice closed forms, although they can be easily evaluated for the given sample by using suitable numerical methods. The performance of the proposed estimators have been compared on the basis of their simulated risks (average loss over the sample space) obtained under squared error as well as under LINEX loss functions. (C) 2004 Elsevier B.V. All rights reserved.
引用
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页码:509 / 523
页数:15
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