statsmodels.genmod.families.family.Gamma.resid_anscombe¶

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

The Anscombe residuals

Parameters:¶

endogndarray

The endogenous response variable

mundarray

The inverse of the link function at the linear predicted values.

var_weightsarray_like

1d array of variance (analytic) weights. The default is 1.

scalefloat, optional

An optional argument to divide the residuals by sqrt(scale). The default is 1.

Returns:¶

resid_anscombendarray

The Anscombe residuals for the Gamma family defined below

Notes

$$resid\mathrm{\_}anscomb{e}_i=3\ast (endo{g}_i^{1/3}-{\mu }_i^{1/3})/{\mu }_i^{1/3}/\sqrt{scale}\ast \sqrt{(}var\mathrm{\_}weights)$$