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
ndarray The endogenous response variable
- mu
ndarray The inverse of the link function at the linear predicted values.
- var_weightsarray_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.
- endog
 - Returns:¶
 - resid_anscombe
ndarray The Anscombe residuals for the Gamma family defined below
- resid_anscombe
 
Notes
\[resid\_anscombe_i = 3 * (endog_i^{1/3} - \mu_i^{1/3}) / \mu_i^{1/3} / \sqrt{scale} * \sqrt(var\_weights)\]
  
    
      Last update:
      Jun 10, 2024