完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Wang, Hsiuying | en_US |
dc.date.accessioned | 2014-12-08T15:34:26Z | - |
dc.date.available | 2014-12-08T15:34:26Z | - |
dc.date.issued | 2014-03-04 | en_US |
dc.identifier.issn | 0233-1888 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1080/02331888.2012.719517 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/23569 | - |
dc.description.abstract | Setting confidence bounds or intervals for a parameter in a restricted parameter space is an important issue in applications and is widely discussed in the recent literature. In this article, we focus on the distributions in the exponential families, and propose general forms of the truncated Pratt interval and rp interval for the means. We take the Poisson distribution as an example to illustrate the method and compare it with the other existing intervals. Besides possessing the merits from the theoretical inferences, the proposed intervals are also shown to be competitive approaches from simulation and real-data application studies. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | confidence interval | en_US |
dc.subject | coverage probability | en_US |
dc.subject | exponential family | en_US |
dc.subject | Poisson distribution | en_US |
dc.subject | minimax | en_US |
dc.subject | rp interval | en_US |
dc.title | Confidence intervals for a bounded mean in exponential families | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1080/02331888.2012.719517 | en_US |
dc.identifier.journal | STATISTICS | en_US |
dc.citation.volume | 48 | en_US |
dc.citation.issue | 2 | en_US |
dc.citation.spage | 327 | en_US |
dc.citation.epage | 343 | en_US |
dc.contributor.department | 統計學研究所 | zh_TW |
dc.contributor.department | Institute of Statistics | en_US |
dc.identifier.wosnumber | WOS:000329829500006 | - |
dc.citation.woscount | 0 | - |
顯示於類別: | 期刊論文 |