<unk> 's<unk><unk> , developed by Hirotsugu<unk>  under the name of "an<unk><unk> " (AIC) in 1971 and proposed in<unk>  (1974), is a measure of the goodness of fit of an estimated statistical model. It is grounded in the concept of entropy. The AIC is an operational way of trading off the complexity of an estimated model against how well the model fits the data.
Akaike information criterion
Ancillary statistic
Quantum yield
Hazard ratio
Cohen's kappa
Bayes factor
Absolute deviation
Equation of state