Akaike information criterion
التعريفات والمعاني
== English ==
=== Etymology ===
Named after the Japanese statistician Hirotsugu Akaike, who formulated the criterion.
=== Proper noun ===
the Akaike information criterion
An estimator of prediction error and thereby relative quality of statistical models for a given data set, founded on the principles of information theory.
Synonym: (initialism) AIC