Empirical Bayes estimators for Weibull parts

Wei An Yan, Bao Wei Song, Gui Lin Duan, Huang Yong Le

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Based on progressively type-II censored trials, the estimators and their properties of Weibull parts are discussed. The uniformly minimum variance unbiased estimator (UMVUE), Bayesian estimators and empirical Bayesian estimators for the parameter, reliability and hazard functions are obtained under Linex loss function. And we prove the empirical Bayesian estimator is asymptotic optimality. At last, the statistical performances are compared through the mean squared error (MSE) based on Monte Carlo simulation study. According to these comparisons, it is suggested that the empirical Bayesian estimators have high-precision.

Original languageEnglish
Pages (from-to)2980-2985
Number of pages6
JournalXitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice
Volume33
Issue number11
StatePublished - Nov 2013

Keywords

  • asymptotic optimality
  • Bayesian estimator
  • Empirical Bayes estimator
  • Linex loss function
  • UMVUE
  • Weibull parts

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