Adaptation of the jackknifed ridge methods to the linear mixed models

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dc.contributor.authorOzkale, M. Revan
dc.contributor.authorKuran, Ozge
dc.date.accessioned2024-04-24T16:24:23Z
dc.date.available2024-04-24T16:24:23Z
dc.date.issued2019
dc.departmentDicle Üniversitesien_US
dc.description.abstractThe purpose of this article is to obtain the jackknifed ridge predictors in the linear mixed models and to examine the superiorities, the linear combinations of the jackknifed ridge predictors over the ridge, principal components regression, r-k class and Henderson's predictors in terms of bias, covariance matrix and mean square error criteria. Numerical analyses are considered to illustrate the findings and a simulation study is conducted to see the performance of the jackknifed ridge predictors.en_US
dc.identifier.doi10.1080/00949655.2019.1669037
dc.identifier.endpage3452en_US
dc.identifier.issn0094-9655
dc.identifier.issn1563-5163
dc.identifier.issue18en_US
dc.identifier.scopus2-s2.0-85073612209
dc.identifier.scopusqualityQ2
dc.identifier.startpage3413en_US
dc.identifier.urihttps://doi.org/10.1080/00949655.2019.1669037
dc.identifier.urihttps://hdl.handle.net/11468/16690
dc.identifier.volume89en_US
dc.identifier.wosWOS:000487959400001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherTaylor & Francis Ltden_US
dc.relation.ispartofJournal of Statistical Computation and Simulation
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMulticollinearityen_US
dc.subjectHenderson's Predictorsen_US
dc.subjectRidge Predictorsen_US
dc.subjectJackknifed Ridge Predictorsen_US
dc.subjectLinear Mixed Modelsen_US
dc.titleAdaptation of the jackknifed ridge methods to the linear mixed modelsen_US
dc.titleAdaptation of the jackknifed ridge methods to the linear mixed models
dc.typeArticleen_US

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