Likelihood inference under the general response transformation model with heteroscedastic errors

dc.citation.epage	273	en_US
dc.citation.issue	2	en_US
dc.citation.spage	261	en_US
dc.citation.volume	7	en_US
dc.citation.woscount	0
dc.contributor.author	Chen, CR	en_US
dc.contributor.author	Wang, LC	en_US
dc.contributor.department	統計學研究所	zh_TW
dc.contributor.department	Institute of Statistics	en_US
dc.date.accessioned	2014-12-08T15:40:50Z
dc.date.available	2014-12-08T15:40:50Z
dc.date.issued	2003-06-01	en_US
dc.description.abstract	In this paper, we propose the likelihood inference under the general response transformation model with heteroscedastic errors when the range of the response transformation is possibly different from the whole real line. Three commonly used families of response transformations are reviewed to illustrate the importance and applicability of the proposed model.	en_US
dc.identifier.issn	1027-5487	en_US
dc.identifier.journal	TAIWANESE JOURNAL OF MATHEMATICS	en_US
dc.identifier.uri	https://ir.lib.nycu.edu.tw/handle/11536/27840
dc.identifier.wosnumber	WOS:000183943700008
dc.language.iso	en_US	en_US
dc.subject	likelihood inference	en_US
dc.subject	response transformation	en_US
dc.subject	heteroscedasticity	en_US
dc.subject	power transformation	en_US
dc.subject	folded power transformation	en_US
dc.subject	modulus power transformation	en_US
dc.title	Likelihood inference under the general response transformation model with heteroscedastic errors	en_US
dc.type	Article	en_US

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