A new process performance index for the Weibull distribution with a type-I hybrid censoring scheme
學年 111
學期 1
出版（發表）日期 2022-11-02
作品名稱 A new process performance index for the Weibull distribution with a type-I hybrid censoring scheme
作品名稱（其他語言）
著者 Tzong-Ru Tsai; Yuhlong Lio; Jyun-You Chiang; Yi-Jia Huang
單位
出版者
著錄名稱、卷期、頁數 Mathematics 10(21), 4090
摘要 A new life performance index is proposed for evaluating the quality of lifetime products. The maximum likelihood estimation method and the Bayesian approaches using informative and non-informative prior distributions are utilized to infer the parameters of the Weibull distribution and the proposed new life performance index under a Type-I hybrid censoring scheme. Monte Carlo simulation results show that two Bayesian approaches outperform the maximum likelihood estimation method in terms of the measures of relative bias, relative mean square error, and coverage probability for the point and confidence interval estimators, respectively. The Bayesian approach using a non-informative prior distribution is recommended if the knowledge of setting up the hyper-parameters in the informative prior distribution is not available. Two real data sets are provided for illustration.
關鍵字 life performance index;maximum likelihood estimation;Bayesian estimation;Monte Carlo simulation
語言 en
ISSN 2227-7390
期刊性質 國外
收錄於 SCI Scopus
產學合作
通訊作者
審稿制度 是
國別 CHE
公開徵稿
出版型式 ,電子版
SDGS 優質教育,夥伴關係