def aicc_sigma(sigma2, nobs, df_modelwc, islog=False):
 if (not islog):
  sigma2 = np.log(sigma2)
 return (sigma2 + (aicc(0, nobs, df_modelwc) / nobs))

def aicc_sigma ( sigma2 , nobs , df_modelwc , islog = False ) : if ( not islog ) : sigma2 = np . log ( sigma2 ) return ( sigma2 + ( aicc ( 0 , nobs , df_modelwc ) / nobs ) )
akaike information criterion with small sample correction parameters sigma2 : float estimate of the residual variance or determinant of sigma_hat in the multivariate case .