期刊論文
| 學年 | 114 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2025-11-12 |
| 作品名稱 | Exact inference and prediction for exponential models under general progressive censoring with application to tire wear data |
| 作品名稱（其他語言） | |
| 著者 | Chien-Tai Lin |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | Mathematics 13(22), p. 3627 |
| 摘要 | General progressive Type-II censoring is widely applied in life-testing experiments to enhance efficiency by allowing early removal of surviving units, thereby reducing experimental time and cost. This paper develops exact inference and prediction procedures for one- and two-parameter exponential models based on multiple independent general progressively Type-II censored samples. Using the recursive algorithm repeatedly, exact confidence intervals for model parameters and exact prediction intervals for unobserved failure times are constructed. The proposed methods are illustrated with simulated and real (tire wear) data, demonstrating their practical applicability to partially censored reliability experiments. |
| 關鍵字 | order statistics; normalized spacings; exponential distribution; best linear unbiased estimator; general progressively Type-II censored sample |
| 語言 | en |
| ISSN | |
| 期刊性質 | 國外 |
| 收錄於 | SCI |
| 產學合作 | |
| 通訊作者 | Chien-Tai Lin |
| 審稿制度 | 是 |
| 國別 | USA |
| 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/987654321/128657 ) |