A Bayesian shrinkage estimation in inverse Weibull distribution type-II censored data using prior point information

Delavari Mojtaba; Deiri Einolah; Khodadadi ZahraZare Karim

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A Bayesian shrinkage estimation in inverse Weibull distribution type-II censored data using prior point information

机译：逆威布尔贝叶斯收缩估计二型使用前审查的数据分布点信息

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Our main objective in this paper is to present a Bayes shrinkage estimator and evaluate the performance of the proposed estimator compared to other estimators for the scale parameter of the inverse Weibull distribution, under the squared error loss and the Linex (LINEX) loss function in the presence of a prior point information of the scale parameter when type-II censored data are available. The properties of the minimax estimators are also discussed. The comparison of the proposed estimators was performed using Monte Carlo simulation with 10,000 replications.

机译：本文的主要目的是提出一个贝叶斯收缩估计和评价提出了估计量的性能比较其他的估计量的尺度参数逆威布尔分布,在平方错误和Linex损失Linex损失函数之前的点的信息当二型审查数据尺度参数可用。估计也进行了讨论。该估计是使用蒙地执行卡洛模拟10000复制。

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来源
《Life Cycle Reliability and Safety Engineering》 |2022年第1期|1-10|共10页
作者
Delavari Mojtaba; Deiri Einolah; Khodadadi ZahraZare Karim;
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作者单位

Islamic Azad University;

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原文格式 PDF
正文语种英语
中图分类安全科学;
关键词
scale parameter; Weibull distribution; censored dataEstimatorsquadratic errorsInverseBayes methodsMonte Carlo technique;

机译：尺度参数威布尔分布;审查dataEstimatorsquadratic errorsInverseBayesmethodsMonte卡技术;

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A Bayesian shrinkage estimation in inverse Weibull distribution type-II censored data using prior point information

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