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AIC stands for the Akaike Information Criterion, which is one technique used to select the best model from a class of models using a penalized likelihood. A smaller AIC implies a better model.
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Comparing non nested models with AIC
The AIC can be applied with non nested models. In fact, this is one of the most extended myths (misunderstandings?) about AIC. … Other versions of the AIC are discussed and compared in the following paper:
On the behaviour of marginal and conditional AIC in linear mixed models …