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# scikits.statsmodels.model.LikelihoodModelResults.__init__

`LikelihoodModelResults.``__init__`(model, params, normalized_cov_params=None, scale=1.0)

  Parameters: | params : 1d array_like parameter estimates from estimated model normalized_cov_params : 2d array Normalized (before scaling) covariance of params normalized_cov_paramss is also known as the hat matrix or H (Semiparametric regression, Ruppert, Wand, Carroll; CUP 2003) scale : float For (some subset of models) scale will typically be the mean square error from the estimated model (sigma^2)

  Notes

  The covariance of params is given by scale times normalized_cov_params

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