What is recorded here?
Introduced an information-theoretic criterion for choosing among fitted statistical models, with AIC equal to minus twice the maximized log likelihood plus twice the number of independently adjusted parameters.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
The record is Akaike’s exact 1974 paper and its model-identification criterion. Earlier maximum-likelihood and information-theory work, later corrections and variants, and every use of AIC remain separate.
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People and systems
Hirotugu Akaike
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.
Research locations and affiliations
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Documented countries / regions: Japan
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English catalogue narrative
Akaike: an information criterion for statistical model identification
Introduced an information-theoretic criterion for choosing among fitted statistical models, with AIC equal to minus twice the maximized log likelihood plus twice the number of independently adjusted parameters.
Scientific scope
The record is Akaike’s exact 1974 paper and its model-identification criterion. Earlier maximum-likelihood and information-theory work, later corrections and variants, and every use of AIC remain separate.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Hirotugu Akaike
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.