期刊論文
| 學年 | 111 |
|---|---|
| 學期 | 2 |
| 出版（發表）日期 | 2023-03-04 |
| 作品名稱 | Stress–strength inference on the multicomponent model based on generalized exponential distributions under type-I hybrid censoring |
| 作品名稱（其他語言） | |
| 著者 | Tzong-Ru Tsai; YL Lio; J-Y Chiang; Y-W Chang |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | Mathematics 2023 11(5), 1249 |
| 摘要 | The stress–strength analysis is investigated for a multicomponent system, where all strength variables of components follow a generalized exponential distribution and are subject to the generalized exponential distributed stress. The estimation methods of the maximum likelihood and Bayesian are utilized to infer the system reliability. For the Bayesian estimation method, informative and non-informative priors combined with three loss functions are considered. Because the computational difficulty on working posteriors, the Markov chain Monte Carlo method is adopted to obtain the approximation of the reliability estimator posterior. In addition, the bootstrap method and highest probability density interval are used to obtain the reliability confidence intervals. The simulation study shows that the Bayes estimator with informative prior is superior to other competitors. Finally, two real examples are given to illustrate the proposed estimation methods. |
| 關鍵字 | multicomponent stress–strength model;generalized exponential distribution;Bayesian method;Markov chain Monte Carlo method;highest probability density interval |
| 語言 | en_US |
| 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 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/123293 ) |