점진적(漸進的) 중단법(中斷法)에서 와이블 모형(模型)에 대한 베이즈 추정(推定)

Bayesian Estimation for the Weibull Model under the Progressively Censoring Scheme

  • Lee, In-Suk (Department of Statistics, Kyungpook National University) ;
  • Cho, Kil-Ho (Department of Statistics, Kyungpook National University) ;
  • Chai, Hyeon-Suk (Department of Statistics, Kyungpook National University)
  • 발행 : 1991.06.25

초록

The maximum likelihood estimators and Bayes estimators of the parameters and reliability function for the two-parameter Weibull distribution under the type-II progressively censoring schemes are derived when a shape parameter is known and unknown, respectively. Efficiencies for above estimators are also compared each other in terms of the mean square errors, and Bayes risk sensitivities of the Bayes estimators are investigated.

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