Combining reliability functions of a Weibull distribution

被引:3
|
作者
Shah M.K.A. [1 ]
Lisawadi S. [1 ]
Ahmed S.E. [2 ]
机构
[1] Department of Mathematics and Statistics, Faculty of Science and Technology, Thammasat University (Rangsit Center), Pathumthani
[2] Department of Mathematics and Statistics, Brock University, St. Catharines, L2S 3A1, ON
关键词
asymptotic bias; asymptotic mean squared error; reliability; shrinkage pretest estimators; simulated relative efficiency;
D O I
10.1134/S199508021701019X
中图分类号
学科分类号
摘要
In this article, a large sample pooling procedure is considered for the reliability function of a Weibull distribution. Asymptotic properties of shrinkage estimation procedures based on the preliminary test are developed. It is shown that the proposed estimator has substantially smaller asymptoticmean squared error (AMSE) than the usual maximumlikelihood (ML) estimator inmost of the parameter space. Analytic AMSE expressions of the proposed estimators are obtained and the dominance picture of the estimators is presented by comparing them. It is shown that the suggested estimators yield a wider dominance range over theML estimator than the usual pretest estimator and give a meaningful size of the pretest. To appraise the small sample performance of the estimators, detailed Monte-Carlo simulation studies are also carried out. © 2017, Pleiades Publishing, Ltd.
引用
收藏
页码:101 / 109
页数:8
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