Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lin, Shuo-Huei | en_US |
dc.contributor.author | Chan, Wenyaw | en_US |
dc.contributor.author | Chen, Lin-An | en_US |
dc.date.accessioned | 2014-12-08T15:12:40Z | - |
dc.date.available | 2014-12-08T15:12:40Z | - |
dc.date.issued | 2008-02-01 | en_US |
dc.identifier.issn | 0026-1394 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1088/0026-1394/45/1/N01 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/9742 | - |
dc.description.abstract | Classically the non-parametric coverage interval is estimated by empirical quantiles. We introduce an alternative way for estimating the coverage interval by symmetric quantiles given by Chen and Chiang (1996 J. Nonparametric Stat. 7 171-85). We further show that this alternative has a better precision in the sense that its asymptotic variances are smaller than the classical one. | en_US |
dc.language.iso | en_US | en_US |
dc.title | A non-parametric coverage interval | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1088/0026-1394/45/1/N01 | en_US |
dc.identifier.journal | METROLOGIA | en_US |
dc.citation.volume | 45 | en_US |
dc.citation.issue | 1 | en_US |
dc.citation.spage | L1 | en_US |
dc.citation.epage | L4 | 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:000252951400001 | - |
dc.citation.woscount | 0 | - |
Appears in Collections: | Articles |
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