Login Register

static LogitResults.resid_response()

statsmodels.discrete.discrete_model.LogitResults.resid_response

static LogitResults.resid_response()

The response residuals

Notes

Response residuals are defined to be

$y - p$

where $p=cdf(X\beta)$ .

Links:

http://statsmodels.sourceforge.net/stable/generated/statsmodels.discrete.discrete_model.LogitResults.resid_response.html

doc_statsmodels

2017-01-18 16:17:51

Comments

Leave a Comment

Please login to continue.

Popular Articles

static LogitResults.resid_dev() statsmodels.discrete.discrete_model.LogitResults.resid_dev static LogitResults.resid_dev() Deviance residuals Notes Deviance residuals are defined

static LogitResults.resid_pearson() statsmodels.discrete.discrete_model.LogitResults.resid_pearson static LogitResults.resid_pearson() Pearson residuals Notes Pearson residuals are d

static LogitResults.resid_generalized() statsmodels.discrete.discrete_model.LogitResults.resid_generalized static LogitResults.resid_generalized() [source] Generalized residuals Notes Th

static BinaryResults.resid_response() statsmodels.discrete.discrete_model.BinaryResults.resid_response static BinaryResults.resid_response() [source] The response residuals Notes Respo

static ProbitResults.resid_response() statsmodels.discrete.discrete_model.ProbitResults.resid_response static ProbitResults.resid_response() The response residuals Notes Response resid