A note on conditional AIC for linear mixed-effects models
نویسندگان
چکیده
منابع مشابه
Modified conditional AIC in linear mixed models
In linear mixed models, the conditional Akaike Information Criterion (cAIC) is a procedure for variable selection in light of the prediction of specific clusters or random effects. This is useful in problems involving prediction of random effects such as small area estimation, and much attention has been received since suggested by Vaida and Blanchard (2005). A weak point of cAIC is that it is ...
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ژورنال
عنوان ژورنال: Biometrika
سال: 2008
ISSN: 0006-3444,1464-3510
DOI: 10.1093/biomet/asn023