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

Gaussian.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 Gaussian family defined below

Notes

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

$$resid\mathrm{\_}anscomb{e}_i=(Y_i-{\mu }_i)/\sqrt{scale}\ast \sqrt{(}var\mathrm{\_}weights)$$