Performance Assessment of the Modified Kernel Ridge Predictors in the Partially Linear Mixed Measurement Error Models via Covid-19 Data Analysis

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dc.contributor.authorKuran, Özge
dc.contributor.authorYalaz, Seçil
dc.date.accessioned2024-04-24T19:13:21Z
dc.date.available2024-04-24T19:13:21Z
dc.date.issued2024
dc.departmentDicle Üniversitesien_US
dc.description.abstractIn this article we describe new predictors under multicollinearity situation in the partially linear mixed measurement error models. In order to achieve this aim, we refer to some preliminary information and use it in order to suggest the modified Kernel ridge predictors in the partially linear mixed measurement error models. In addition, we also attain some mean square error comparisons between our new described modified Kernel ridge predictors and predictors previously described in literature for the partially linear mixed measurement error model. In conclusion, the article showcases real data analysis and a simulation study to illusrate our theoretical findings.en_US
dc.identifier.doi10.21205/deufmd.2024267615
dc.identifier.endpage140en_US
dc.identifier.issn1302-9304
dc.identifier.issn2547-958X
dc.identifier.issue76en_US
dc.identifier.startpage134en_US
dc.identifier.trdizinid1223648
dc.identifier.urihttps://doi.org/10.21205/deufmd.2024267615
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/1223648
dc.identifier.urihttps://hdl.handle.net/11468/28561
dc.identifier.volume26en_US
dc.indekslendigikaynakTR-Dizin
dc.language.isoenen_US
dc.relation.ispartofDokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titlePerformance Assessment of the Modified Kernel Ridge Predictors in the Partially Linear Mixed Measurement Error Models via Covid-19 Data Analysisen_US
dc.titlePerformance Assessment of the Modified Kernel Ridge Predictors in the Partially Linear Mixed Measurement Error Models via Covid-19 Data Analysis
dc.typeArticleen_US

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