statsmodels.tools.eval_measures.aicc_sigma¶
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statsmodels.tools.eval_measures.
aicc_sigma
(sigma2, nobs, df_modelwc, islog=False)[source]¶ Akaike information criterion (AIC) with small sample correction
Parameters: sigma2 : float
estimate of the residual variance or determinant of Sigma_hat in the multivariate case. If islog is true, then it is assumed that sigma is already log-ed, for example logdetSigma.
nobs : int
number of observations
df_modelwc : int
number of parameters including constant
Returns: aicc : float
information criterion
Notes
A constant has been dropped in comparison to the loglikelihood base information criteria. These should be used to compare for comparable models.
References
http://en.wikipedia.org/wiki/Akaike_information_criterion#AICc