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Two-stage Welsh's trimmed mean for the simultaneous equations model

dc.citation.epage492en_US
dc.citation.issue4en_US
dc.citation.spage481en_US
dc.citation.volume43en_US
dc.citation.woscount0
dc.contributor.authorChen, LAen_US
dc.contributor.authorLiang, KYen_US
dc.contributor.authorLiu, CCen_US
dc.contributor.department統計學研究所zh_TW
dc.contributor.departmentInstitute of Statisticsen_US
dc.date.accessioned2014-12-08T15:43:11Z
dc.date.available2014-12-08T15:43:11Z
dc.date.issued2001-12-01en_US
dc.description.abstractThis paper discusses the large sample theory of the two-stage Welsh's trimmed mean for the limited information simultaneous equations model. Besides having asymptotic normality, this trimmed mean, as the two-stage least squares estimator, is a generalized least squares estimator. It also acts as a robust Aitken estimator for the simultaneous equations model. Examples illustrate real data analysis and large sample inferences based on this trimmed mean.en_US
dc.identifier.issn1369-1473en_US
dc.identifier.journalAUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICSen_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/29228
dc.identifier.wosnumberWOS:000172499200010
dc.language.isoen_USen_US
dc.subjectAitken estimatoren_US
dc.subjectgeneralized least squares estimatoren_US
dc.subjectsimultaneous equations modelen_US
dc.subjecttrimmed meanen_US
dc.titleTwo-stage Welsh's trimmed mean for the simultaneous equations modelen_US
dc.typeArticleen_US

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