The umvue and bayes estimate of reliability of mixed failure time distribution
作者:
K. Muralidharan,
期刊:
Communications in Statistics - Simulation and Computation
(Taylor Available online 2000)
卷期:
Volume 29,
issue 2
页码: 603-619
ISSN:0361-0918
年代: 2000
DOI:10.1080/03610910008813630
出版商: Marcel Dekker, Inc.
关键词: reliability;mixture of degenerate and exponential;mixing proportion;UMVUE;Bayes estimation;Bayes risk
数据来源: Taylor
摘要:
We study the reliability estimates of the non-standard mixture of degenerate (degenerated at zero) and exponential distributions. The Uniformly Minimum Variance Unbiased Estimator (UMVUE) and Bayes estimator of the reliability for some selective prior when the mixing proportion is known and unknown are derived. The Bayes risk is computed for each Bayes estimator of the reliability. A simulated study is carried out to assess the performance of the estimators alongwith the true and Maximum Likelihood Estimate (MLE) of the reliability. An example from Vannman (1991) is also discussed at the end of the paper.
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