Gamma.resid_dev()

statsmodels.genmod.families.family.Gamma.resid_dev

Gamma.resid_dev(endog, mu, scale=1.0) [source]

Gamma deviance residuals

Parameters:

Parameters:	endog : array-like Endogenous response variable mu : array-like Fitted mean response variable scale : float, optional An optional argument to divide the residuals by scale. The default is 1.
Returns:	resid_dev : array Deviance residuals as defined below

endog : array-like

Endogenous response variable

mu : array-like

Fitted mean response variable

scale : float, optional

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

Returns:

resid_dev : array

Deviance residuals as defined below

$resid\_dev_i = sign(Y_i - \mu_i) \sqrt{-2 * (-(Y_i - \mu_i) / \mu_i + \log(Y_i / \mu_i))}$

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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.Gamma.resid_dev.html