| Parameter estimation for the Kumaraswamy distribution based on hybrid censoring | |
|---|---|
| 學年 | 106 |
| 學期 | 2 |
| 出版（發表）日期 | 2018-05-09 |
| 作品名稱 | Parameter estimation for the Kumaraswamy distribution based on hybrid censoring |
| 作品名稱（其他語言） | |
| 著者 | Farha Sultana; Yogesh Mani Tripathi; Manoj Kumar Rastogi; Shuo-Jye Wu |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | American Journal of Mathematical and Management Sciences 37(3), p.243-261 |
| 摘要 | We consider estimation of unknown parameters of a two-parameter Kumaraswamy distribution with hybrid censored samples. We obtain maximum likelihood estimates using an expectation-maximization algorithm. Bayes estimates are derived under the squared error loss function using different approximation methods. In addition, an importance sampling technique is also discussed. Interval estimation is considered as well. We conduct a simulation study to compare the performance of different estimates, and based on this study, recommendations are made. A real data set and a simulated data set are analyzed for illustration purposes. |
| 關鍵字 | Bayes estimates;EM algorithm;importance sampling;Lindley method;Tierney and Kadane method |
| 語言 | en_US |
| ISSN | |
| 期刊性質 | 國外 |
| 收錄於 | EI |
| 產學合作 | |
| 通訊作者 | |
| 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/987654321/114923 ) |
| SDGS | 產業創新與基礎設施 |
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