Mean Square Error Performance of the Modified Jackknifed Ridge Predictors in the Linear Mixed Models

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dc.contributor.authorKuran, Özge
dc.date.accessioned2024-04-24T19:11:52Z
dc.date.available2024-04-24T19:11:52Z
dc.date.issued2020
dc.departmentDicle Üniversitesien_US
dc.description.abstractThe goal of this study is to introduce the modified jackknifed ridge prediction method in the linear mixed models. Then, the matrix mean square error (MMSE) comparisons are done. Finally, a real data analysis is given to observe the behavior of the modified jackknifed ridge predictors.en_US
dc.identifier.endpage407en_US
dc.identifier.issn1012-2354
dc.identifier.issue3en_US
dc.identifier.startpage400en_US
dc.identifier.trdizinid460070en_US
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/460070
dc.identifier.urihttps://hdl.handle.net/11468/28235
dc.identifier.volume36en_US
dc.indekslendigikaynakTR-Dizin
dc.language.isoenen_US
dc.relation.ispartofErciyes Üniversitesi Fen Bilimleri Enstitüsü Dergisien_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleMean Square Error Performance of the Modified Jackknifed Ridge Predictors in the Linear Mixed Modelsen_US
dc.typeArticleen_US

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