InverseGaussian.resid_anscombe()

statsmodels.genmod.families.family.InverseGaussian.resid_anscombe

InverseGaussian.resid_anscombe(endog, mu) [source]

The Anscombe residuals for the inverse Gaussian distribution

Parameters:

Parameters:	endog : array Endogenous response variable mu : array Fitted mean response variable
Returns:	resid_anscombe : array The Anscombe residuals for the inverse Gaussian distribution as defined below

endog : array

Endogenous response variable

mu : array

Fitted mean response variable

Returns:

resid_anscombe : array

The Anscombe residuals for the inverse Gaussian distribution as defined below

$resid\_anscombe_i = \log(Y_i / \mu_i) / \sqrt{\mu_i}$

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© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3-clause BSD License.
http://www.statsmodels.org/stable/generated/statsmodels.genmod.families.family.InverseGaussian.resid_anscombe.html