Akaike information criterion

proper noun

An estimator of prediction error and thereby relative quality of statistical models for a given data set, founded on the principles of information theory.

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Meanings

proper nounthe Akaike information criterion
  1. An estimator of prediction error and thereby relative quality of statistical models for a given data set, founded on the principles of information theory.

    Synonyms: AIC

Synonyms & antonyms

proper nounAn estimator of prediction error and thereby relative quality of statistical models for a given data set, founded on the principles of information theory.

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Origin

Named after the Japanese statistician Hirotsugu Akaike, who formulated the criterion.

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Cite this entry
APA

Akaike information criterion. (n.d.). In WatkinsX Dictionary. Retrieved November 5, 2026, from https://dictionary.watkinsx.com/word/Akaike%20information%20criterion

MLA

“Akaike information criterion.” WatkinsX Dictionary, https://dictionary.watkinsx.com/word/Akaike%20information%20criterion. Accessed November 5, 2026.

Chicago

WatkinsX Dictionary, s.v. “Akaike information criterion,” accessed November 5, 2026, https://dictionary.watkinsx.com/word/Akaike%20information%20criterion.

Source: Akaike information criterion on Wiktionary, CC BY-SA 4.0.