Information Criteria and Statistical Modeling by Sadanori Konishi, Genshiro Kitagawa (Hardback, 2007)

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The Akaike information criterion (AIC) derived as an estimator of the Kullback-Leibler information discrepancy provides a useful tool for evaluating statistical models, and numerous successful applications of the AIC have been reported in various fields of natural sciences, social sciences and engineering.