期刊論文
| 學年 | 109 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2020-10-01 |
| 作品名稱 | Reliability inference for a multicomponent stress-strength model based on Kumaraswamy distribution |
| 作品名稱（其他語言） | |
| 著者 | Liang Wang; Sanku Dey; Yogesh Mani Tripathi; Shuo-Jye Wu |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | Journal of Computational and Applied Mathematics 376, 112823 |
| 摘要 | In this paper, inference for a multicomponent stress–strength (MSS) model is studied under censored data. When both latent strength and stress random variables follow Kumaraswamy distributions with common shape parameters, the maximum likelihood estimate of MSS reliability is established and associated approximate confidence interval is constructed using the asymptotic distribution theory and delta method. Moreover, pivotal quantities based generalized point and confidence interval estimates are presented for the MSS reliability. Furthermore, likelihood and generalized pivotal based estimates are also presented when the strength and stress variables have unequal shape parameters. For complementary and comparison, bootstrap confidence intervals are provided as well under common and unequal parameter cases. In addition, to compare the equivalence between strength and stress shape parameters, the likelihood ratio test for hypothesis of interest is also discussed. Finally, simulation study and a real data example are provided to investigate the performance of proposed procedures. |
| 關鍵字 | Multicomponent stress–strength model;Kumaraswamy distribution;Maximum likelihood estimation;Generalized pivotal quantity;Asymptotic theory;Bootstrap interval |
| 語言 | en_US |
| ISSN | 1879-1778 |
| 期刊性質 | 國外 |
| 收錄於 | SCI |
| 產學合作 | |
| 通訊作者 | Wang, L. |
| 審稿制度 | 是 |
| 國別 | NLD |
| 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/987654321/118258 ) |