statsmodels.genmod.families.family.Gamma.resid_anscombe

Gamma.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.
Returns:

resid_anscombe – The Anscombe residuals for the Gamma family defined below
Return type:

array

Notes

\[resid\_anscombe_i = 3 * (endog_i^{1/3} - \mu_i^{1/3}) / \mu_i^{1/3} / \sqrt{scale} * \sqrt(var\_weights)\]