期刊論文
| 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 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/124628 ) |