Kernel mixed and Kernel stochastic restricted ridge predictions in the partially linear mixed measurement error models an application to COVID-19

Kernel mixed and Kernel stochastic restricted ridge predictions in the partially linear mixed measurement error models : an application to COVID-19

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Bibliographische Detailangaben
Veröffentlicht in:Journal of applied statistics. - 1991. - 51(2024), 10 vom: 13., Seite 1894-1918
1. Verfasser: Kuran, Özge (VerfasserIn)
Weitere Verfasser: Yalaz, Seçil
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2024
Zugriff auf das übergeordnete Werk:Journal of applied statistics
Schlagworte:Journal Article Kernel mixed predictor Kernel stochastic restricted ridge predictor Multicollinearity asymptotic normality partially linear mixed measurement error models
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