Login Register

WLS.information()

statsmodels.regression.linear_model.WLS.information

WLS.information(params)

Fisher information matrix of model

Returns -Hessian of loglike evaluated at params.

Links:

http://statsmodels.sourceforge.net/stable/generated/statsmodels.regression.linear_model.WLS.information.html

doc_statsmodels

2017-01-18 16:22:13

Comments

Leave a Comment

Please login to continue.

Popular Articles

WLS.hessian() statsmodels.regression.linear_model.WLS.hessian WLS.hessian(params) The Hessian matrix of the model

WLS.predict() statsmodels.regression.linear_model.WLS.predict WLS.predict(params, exog=None) Return linear predicted values from a design matrix. Parameters: p

WLS.initialize() statsmodels.regression.linear_model.WLS.initialize WLS.initialize()

WLS.whiten() statsmodels.regression.linear_model.WLS.whiten WLS.whiten(X) [source] Whitener for WLS model, multiplies each column by sqrt(self.weights) Paramet

WLS.fit() statsmodels.regression.linear_model.WLS.fit WLS.fit(method='pinv', cov_type='nonrobust', cov_kwds=None, use_t=None, **kwargs) Full fit of the mode