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statsmodels.discrete.discrete_model.BinaryResults.resid_pearson

BinaryResults.resid_pearson() [source]

Pearson residuals

Notes

Pearson residuals are defined to be

\[r_j = \frac{(y - M_jp_j)}{\sqrt{M_jp_j(1-p_j)}}\]

where \(p_j=cdf(X\beta)\) and \(M_j\) is the total number of observations sharing the covariate pattern \(j\).

For now \(M_j\) is always set to 1.

© 2009–2012 Statsmodels Developers
© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3-clause BSD License.
http://www.statsmodels.org/stable/generated/statsmodels.discrete.discrete_model.BinaryResults.resid_pearson.html