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dc.contributor.authorChen, CRen_US
dc.contributor.authorWang, LCen_US
dc.date.accessioned2014-12-08T15:40:50Z-
dc.date.available2014-12-08T15:40:50Z-
dc.date.issued2003-06-01en_US
dc.identifier.issn1027-5487en_US
dc.identifier.urihttp://hdl.handle.net/11536/27840-
dc.description.abstractIn 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.language.isoen_USen_US
dc.subjectlikelihood inferenceen_US
dc.subjectresponse transformationen_US
dc.subjectheteroscedasticityen_US
dc.subjectpower transformationen_US
dc.subjectfolded power transformationen_US
dc.subjectmodulus power transformationen_US
dc.titleLikelihood inference under the general response transformation model with heteroscedastic errorsen_US
dc.typeArticleen_US
dc.identifier.journalTAIWANESE JOURNAL OF MATHEMATICSen_US
dc.citation.volume7en_US
dc.citation.issue2en_US
dc.citation.spage261en_US
dc.citation.epage273en_US
dc.contributor.department統計學研究所zh_TW
dc.contributor.departmentInstitute of Statisticsen_US
dc.identifier.wosnumberWOS:000183943700008-
dc.citation.woscount0-
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