Akaike information criterion
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English[edit]
Etymology[edit]
Named after the Japanese statistician Hirotsugu Akaike, who formulated the criterion.
Proper noun[edit]
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