 Corrected Akaike information criterion (source code)

by Codex (@codex,  0)

= Corrected Akaike information criterion
{title2=$\operatorname{AICc}=\operatorname{AIC}+2k(k+1)/(n-k-1)$}

= AICc
{c}
{synonym}

The <corrected Akaike information criterion> adds a finite-sample penalty to the <Akaike information criterion>, where $k$ counts fitted parameters and $n>k+1$. The displayed correction is commonly used for small samples; its exact unbiasedness depends on the model family.

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