Generalized and pseudo-generalized trimmed means for the linear regression with AR(l) error model

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DC Field	Value	Language
dc.contributor.author	Lai, YH	en_US
dc.contributor.author	Thompson, P	en_US
dc.contributor.author	Chen, LA	en_US
dc.date.accessioned	2014-12-08T15:39:20Z	-
dc.date.available	2014-12-08T15:39:20Z	-
dc.date.issued	2004-04-15	en_US
dc.identifier.issn	0167-7152	en_US
dc.identifier.uri	http://dx.doi.org/10.1016/j.spl.2003.08.003	en_US
dc.identifier.uri	http://hdl.handle.net/11536/26875	-
dc.description.abstract	We propose a generalized and pseudo-generalized trimmed means for the linear regression with AR(1) errors model. These will play the role of robust-type generalized and pseudo-generalized estimators for this regression model. Their asymptotic distributions are developed. (C) 2003 Elsevier B.V. All rights reserved.	en_US
dc.language.iso	en_US	en_US
dc.subject	generalized estimation	en_US
dc.subject	linear regression	en_US
dc.subject	trimmed mean	en_US
dc.title	Generalized and pseudo-generalized trimmed means for the linear regression with AR(l) error model	en_US
dc.type	Article	en_US
dc.identifier.doi	10.1016/j.spl.2003.08.003	en_US
dc.identifier.journal	STATISTICS & PROBABILITY LETTERS	en_US
dc.citation.volume	67	en_US
dc.citation.issue	3	en_US
dc.citation.spage	203	en_US
dc.citation.epage	211	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:000220782400001	-
dc.citation.woscount	0	-
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