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Simulation Study on Model Selection Based on AIC under Unbalanced Design in Linear Mixed Effect Models
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 Title & Authors
Simulation Study on Model Selection Based on AIC under Unbalanced Design in Linear Mixed Effect Models
Lee, Yong-Hee;
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This article consider a performance model selection based on AIC under unbalanced deign in linear mixed effect models. Vaida and Balanchard (2005) proposed conditional AIC for model selection in linear mixed effect models when the prediction of random effects is of primary interest. Theoretical properties of cAIC and related criteria have been investigated by Liang et al. (2008) and Greven and Kneib (2010). However, all of the simulation studies were performed under a balanced design. Even though functional form of AIC remain same even under the unbalanced deign, it is worthwhile to investigate performance of AIC based model selection criteria under the unbalanced design. The simulation study in this article shows how unbalancedness affects model selection in linear mixed effect models.
Linear mixed effect models;unbalanced design;AIC;model selection;
 Cited by
실내 항온과 온실 변온조건에서 목화진딧물의 온도 발육비교,김도익;고숙주;최덕수;강범용;박창규;김선곤;박종대;김상수;

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