Inference for block progressive censored competing risks data from an inverted exponentiated exponential model
學年 112
學期 1
出版（發表）日期 2023-11-01
作品名稱 Inference for block progressive censored competing risks data from an inverted exponentiated exponential model
作品名稱（其他語言）
著者 Wang, L., Wu, S.-J., Lin, H. and Tripathi, Y. M.
單位
出版者
著錄名稱、卷期、頁數 Quality and Reliability Engineering International 39(7),　p.2736-2764
摘要 In this paper, reliability estimation for a competing risks model is discussed under a block progressive censoring scheme, which improves experimental efficiency through testing items under different testing facilities. When the lifetime of units follows an inverted exponentiated exponential distribution (IEED) and taking difference in testing facilities into account, various approaches are established for estimating unknown parameters, reliability performances and the differences in different testing facilities. Maximum likelihood estimators of IEED competing risks parameters together with existence and uniqueness are established, and the reliability performances and the difference in different testing facilities are also obtained in consequence. In addition, a hierarchical Bayes approach is proposed and the Metropolis-Hastings sampling algorithm is constructed for complex posterior computation. Finally, extensive simulation studies and a real data analysis are carried out to elaborate the performance of the methods, and the numerical results show that the proposed hierarchical Bayes model outperforms than classical likelihood method under block progressive censoring.
關鍵字 block progressive censoring;competing risks model;differences in testing facilities;hierarchical Bayesian model;inverted exponentiated exponential distribution;likelihood estimation
語言 en_US
ISSN
期刊性質 國外
收錄於 SCI EI Scopus
產學合作
通訊作者 Liang Wang
審稿制度 是
國別 USA
公開徵稿
出版型式 ,電子版,紙本
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