期刊論文
| 學年 | 110 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2021-10-04 |
| 作品名稱 | EM algorithm for mixture distributions model with type-I hybrid censoring scheme |
| 作品名稱（其他語言） | |
| 著者 | Tzong-Rr Tsai; Y. Lio; W-C Ting |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | Mathematics 9(19), 2483 |
| 摘要 | An expectation–maximization (EM) likelihood estimation procedure is proposed to obtain the maximum likelihood estimates of the parameters in a mixture distributions model based on type-I hybrid censored samples when the mixture proportions are unknown. Three bootstrap methods are applied to construct the confidence intervals of the model parameters. Monte Carlo simulations are conducted to evaluate the performance of the proposed methods. Simulation results show that the proposed methods can perform well to obtain reliable point and interval estimation results. Three examples are used to illustrate the applications of the proposed methods. |
| 關鍵字 | bootstrap method;EM algorithm;maximum likelihood estimation;mixture distributions model;Monte Carlo simulation |
| 語言 | en_US |
| ISSN | 2227-7390 |
| 期刊性質 | 國外 |
| 收錄於 | SCI |
| 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/987654321/122521 ) |