TOLERANCE INTERVALS FOR DISCRETE DISTRIBUTIONS IN EXPONENTIAL FAMILIES

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DC Field	Value	Language
dc.contributor.author	Cai, Tianwen Tony	en_US
dc.contributor.author	Wang, Hsiuying	en_US
dc.date.accessioned	2014-12-08T15:09:14Z	-
dc.date.available	2014-12-08T15:09:14Z	-
dc.date.issued	2009-07-01	en_US
dc.identifier.issn	1017-0405	en_US
dc.identifier.uri	http://hdl.handle.net/11536/7052	-
dc.description.abstract	Tolerance intervals are widely used in industrial applications. So far attention has been mainly focused on the construction of tolerance intervals for continuous distributions. In this paper we introduce a unified analytical approach to the construction of tolerance intervals for discrete distributions in exponential families with quadratic variance functions. These tolerance intervals are shown to have desirable probability matching properties and outperform existing tolerance intervals in the literature.	en_US
dc.language.iso	en_US	en_US
dc.subject	Coverage probability	en_US
dc.subject	Edgeworth expansion	en_US
dc.subject	exponential family	en_US
dc.subject	probability matching	en_US
dc.subject	tolerance interval	en_US
dc.title	TOLERANCE INTERVALS FOR DISCRETE DISTRIBUTIONS IN EXPONENTIAL FAMILIES	en_US
dc.type	Article	en_US
dc.identifier.journal	STATISTICA SINICA	en_US
dc.citation.volume	19	en_US
dc.citation.issue	3	en_US
dc.citation.spage	905	en_US
dc.citation.epage	923	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:000267608900002	-
dc.citation.woscount	10	-
Appears in Collections:	Articles