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I'm selecting models using the information theoretic approach. I've just read that the AICc should be used to rank candidate models where the number of parameters in a model reaches 30% of the sample size. Is this a good benchmark to use when deciding to use AIC or AICc?

luciano
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    It would be good to mention/give a link to where you read that. I believe Burnham and Anderson recommend AICc for `N-k<40`, but I don't have their book handy. – Ben Bolker Feb 16 '14 at 18:15

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Burnham and Anderson (see online pdf) recommend using AICc when the ratio n/K is small. In particular, they suggest to use AICc when n/K < 40. In other words, once the number of parameters reach 2% or 3% of the amount of data, you should prefer AICc.

Artem Kaznatcheev
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