已複製連結
Interval estimation of parameters of log-gamma distribution based on progressively censored data
| 資料類型 | 期刊論文 |
|---|---|
| 題名(外文) | Interval estimation of parameters of log-gamma distribution based on progressively censored data |
| 作者 | |
| 出版年月 | 2004/01 |
| 刊名(外文) | Communications in Statistics - Theory and Methods（另開新視窗） |
| 卷 | 33 |
| 期 | 11 |
| 頁次 | 2595-2626 |
| 出版者 | Taylor & Francis（另開新視窗） |
| 關鍵字(外文) | Ancillary statistics（另開新視窗）; Conditional inference（另開新視窗）; Pivotal quantities（另開新視窗）; Monte Carlo simulations（另開新視窗） |
| 摘要(外文) | A conditional method of inference is used to derive confidence intervals for the location and scale parameters as well as the quantiles and the reliability function of the log-gamma distribution when the data are progressively Type-II censored. The method is then compared to the unconditional method of constructing confidence intervals for these parameters. Finally, we illustrate all the methods of inference discussed in this paper with a numerical example. |