# statsmodels.genmod.families.family.Gaussian.resid_anscombe¶

Gaussian.resid_anscombe(endog, mu, var_weights=1.0, scale=1.0)[source]

The Anscombe residuals

Parameters: endog (array) – The endogenous response variable mu (array) – The inverse of the link function at the linear predicted values. var_weights (array-like) – 1d array of variance (analytic) weights. The default is 1. scale (float, optional) – An optional argument to divide the residuals by sqrt(scale). The default is 1. resid_anscombe – The Anscombe residuals for the Gaussian family defined below array

Notes

For the Gaussian distribution, Anscombe residuals are the same as deviance residuals.

$resid\_anscombe_i = (Y_i - \mu_i) / \sqrt{scale} * \sqrt(var\_weights)$