Hannan-Quinn information criterion

In statistics, the Hannan-Quinn information criterion (HQC) is an alternative to Akaike Information Criterion (AIC) and Bayesian information criterion (BIC). It is given as


 * $$ \mathrm{HQC} = n \ln \left( {\mathrm{RSS} \over n } \right) + 2 k \ln \ln(n). \ $$

where k is the number of parameters, n is the number of observations and RSS is the fitted residual sum of squares of a linear regression.