Model selection via conditional conceptual predictive statistic for mixed and stochastic restricted ridge estimators in linear mixed models

Summary In this article, we characterize the mixed Cp$$ {C}_p $$ (CMCp$$ {\mathrm{CMC}}_p $$) and conditional stochastic restricted ridge Cp$$ {C}_p $$ (CSRRCp$$ {\mathrm{CSRRC}}_p $$) statistics that depend on the expected conditional Gauss discrepancy for the purpose of selecting the most appropri...

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Veröffentlicht in:	Concurrency and computation 2022-12, Vol.34 (28), p.n/a
Hauptverfasser:	Özkale, M. Revan, Kuran, Özge
Format:	Artikel
Sprache:	eng
Schlagworte:	Data analysis Gauss discrepancy information criterion Mallow's conceptual predictive statistic model selection random effects Statistics
Online-Zugang:	Volltext
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