期刊論文
| 學年 | 111 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2023-01-12 |
| 作品名稱 | Estimation of stress-strength reliability for multicomponent system with a generalized inverted exponential distribution |
| 作品名稱（其他語言） | |
| 著者 | Wang, L., Wu, S.-J., Dey, S. and Tripathi, Y. M. and Mao, S. |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | Stochastic Models 39(4), p.715-740 |
| 摘要 | Reliability analysis for a multicomponent stress-strength (MSS) model is discussed in this paper. When strength and stress variables follow generalized inverted exponential distributions (GIEDs) with common scale parameters, maximum likelihood estimate of MSS reliability is established along with associated existence and uniqueness, and approximate confidence interval is also obtained in consequence. Additionally, alternative generalized estimates are proposed for MSS reliability based on constructed pivotal quantities, and associated Monte-Carlo sampling is provided for computation. Further, classical and generalized estimates are also established under unequal strength and stress parameter case. For comparison, bootstrap confidence intervals are also provided under different cases. To compare the equivalence of the strength and stress parameters, likelihood ratio testing is presented as a complement. Finally, extensive simulation studies are carried out to assess the performance of the proposed methods, and a real data example is presented for application. The numerical results indicate that the proposed generalized methods perform better than conventional likelihood results. |
| 關鍵字 | Bootstrap confidence interval;generalized inverted exponential distribution;generalized pivotal quantity;likelihood ratio test;maximum likelihood estimation;multicomponent stress-strength model |
| 語言 | en_US |
| ISSN | |
| 期刊性質 | 國外 |
| 收錄於 | SCI 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/987654321/124740 ) |