Akaike information criterion
Jump to navigation
Jump to search
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