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