def resid_anscombe(self, endog, mu):
        r"""
        The Anscombe residuals for the inverse Gaussian distribution

        Parameters
        ----------
        endog : array
            Endogenous response variable
        mu : array
            Fitted mean response variable

        Returns
        -------
        resid_anscombe : array
            The Anscombe residuals for the inverse Gaussian distribution  as
            defined below

        Notes
        -----
        .. math::

           resid\_anscombe_i = \log(Y_i / \mu_i) / \sqrt{\mu_i}
        """
        return np.log(endog / mu) / np.sqrt(mu)
dataset/ETHPy150Open statsmodels/statsmodels/statsmodels/genmod/families/family.py/InverseGaussian.resid_anscombe/original