完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Chen, Lin-An | en_US |
dc.contributor.author | Huang, Jing-Ye | en_US |
dc.contributor.author | Chen, Hung-Chia | en_US |
dc.date.accessioned | 2014-12-08T15:14:26Z | - |
dc.date.available | 2014-12-08T15:14:26Z | - |
dc.date.issued | 2007-04-01 | en_US |
dc.identifier.issn | 0026-1394 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1088/0026-1394/44/2/N01 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/10992 | - |
dc.description.abstract | Parametric estimation of coverage interval is useful since the parametric intervals are generally narrower than the non-parametric ones; however, it has been considered only for the measurement variable with normal distribution. Here we propose a general technique for constructing parametric coverage intervals that may deal with all distributions, both symmetric and asymmetric, in measurement science. | en_US |
dc.language.iso | en_US | en_US |
dc.title | Parametric coverage interval | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1088/0026-1394/44/2/N01 | en_US |
dc.identifier.journal | METROLOGIA | en_US |
dc.citation.volume | 44 | en_US |
dc.citation.issue | 2 | en_US |
dc.citation.spage | L7 | en_US |
dc.citation.epage | L9 | 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:000246553200003 | - |
dc.citation.woscount | 3 | - |
顯示於類別: | 期刊論文 |