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Quasi-Likelihood Estimation for ARCH models

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dc.contributor.author김삼용-
dc.date.available2019-07-18T04:59:20Z-
dc.date.issued2005-09-
dc.identifier.issn1598-9402-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/29561-
dc.description.abstractIn this paper, the quasi-likelihood function was proposed and the estimators which are the solutions of the estimating equations for estimation of a class of nonlinear time series models. We compare the performances of the proposed estimators with those of the ML estimators under the heavy-railed distributions by simulation.-
dc.format.extent6-
dc.publisher한국데이터정보과학회-
dc.titleQuasi-Likelihood Estimation for ARCH models-
dc.typeArticle-
dc.identifier.bibliographicCitation한국데이터정보과학회지, v.16, no.3, pp 651 - 656-
dc.identifier.kciidART001131164-
dc.description.isOpenAccessN-
dc.citation.endPage656-
dc.citation.number3-
dc.citation.startPage651-
dc.citation.title한국데이터정보과학회지-
dc.citation.volume16-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE07243853-
dc.publisher.location대한민국-
dc.subject.keywordAuthorARCH-
dc.subject.keywordAuthorMLE-
dc.subject.keywordAuthorQuasi-Likelihood Function-
dc.description.journalRegisteredClasskci-
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