tools.eval_measures.bic_sigma()

statsmodels.tools.eval_measures.bic_sigma

statsmodels.tools.eval_measures.bic_sigma(sigma2, nobs, df_modelwc, islog=False) [source]

Bayesian information criterion (BIC) or Schwarz criterion

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.