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Wiley interdisciplinary reviews. Computational statistics, v.11 no.3, 2019년, pp.e1460 -
Cavanaugh, Joseph E. (Department of Biostatistics University of Iowa, Iowa City Iowa) , Neath, Andrew A. (Department of Mathematics and Statistics Southern Illinois University Edwardsville Illinois)
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The Akaike information criterion (AIC) is one of the most ubiquitous tools in statistical modeling. The first model selection criterion to gain widespread acceptance, AIC was introduced in 1973 by Hirotugu Akaike as an extension to the maximum likelihood principle. Maximum likelihood is conventional...
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