statsmodels.tools.eval_measures.aicc¶
- statsmodels.tools.eval_measures.aicc(llf, nobs, df_modelwc)[source]¶
Akaike information criterion (AIC) with small sample correction
- Parameters:
- llf{
float
, array_like} value of the loglikelihood
- nobs
int
number of observations
- df_modelwc
int
number of parameters including constant
- llf{
- Returns:
- aicc
float
information criterion
- aicc
References
https://en.wikipedia.org/wiki/Akaike_information_criterion#AICc