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dc.contributor.authorKURNAZ, Fatma Sevinç
dc.contributor.authorAkay, Kadri Ulaş
dc.date.accessioned2021-03-02T22:57:38Z
dc.date.available2021-03-02T22:57:38Z
dc.date.issued2015
dc.identifier.citationKURNAZ F. S. , Akay K. U. , "A new Liu-type estimator", STATISTICAL PAPERS, cilt.56, sa.2, ss.495-517, 2015
dc.identifier.issn0932-5026
dc.identifier.otherav_0fa46a28-e200-4936-b02a-9e1fe3619d9f
dc.identifier.othervv_1032021
dc.identifier.urihttp://hdl.handle.net/20.500.12627/16053
dc.identifier.urihttps://doi.org/10.1007/s00362-014-0594-6
dc.description.abstractThe purpose of this paper is to introduce a new general Liu-type estimator which includes the ordinary least squares (OLS), ordinary ridge regression (ORR), Liu estimators and some estimators with two biasing parameters as special cases. Also, we investigate the superiority of the new Liu-type estimator to the OLS, ORR, Liu estimators and the estimators with two biasing parameters under the matrix mean squared error (MMSE) criterion. Furthermore, the results are illustrated both theoretically and graphically on the Portland cement dataset which is widely used in literature.
dc.language.isoeng
dc.subjectİSTATİSTİK & OLASILIK
dc.subjectMatematik
dc.subjectTemel Bilimler (SCI)
dc.titleA new Liu-type estimator
dc.typeMakale
dc.relation.journalSTATISTICAL PAPERS
dc.contributor.departmentYıldız Teknik Üniversitesi , Fen-Edebiyat Fakültesi , İstatistik Bölümü
dc.identifier.volume56
dc.identifier.issue2
dc.identifier.startpage495
dc.identifier.endpage517
dc.contributor.firstauthorID81148


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