GLSAR.iterative_fit()
statsmodels.regression.linear_model.GLSAR.iterative_fit
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GLSAR.iterative_fit(maxiter=3, rtol=0.0001, **kwds)
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Perform an iterative two-stage procedure to estimate a GLS model.
The model is assumed to have AR(p) errors, AR(p) parameters and regression coefficients are estimated iteratively.
Parameters: maxiter : integer, optional
the number of iterations
rtol : float, optional
Relative tolerance between estimated coefficients to stop the estimation. Stops if
max(abs(last - current) / abs(last)) < rtol
© 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.regression.linear_model.GLSAR.iterative_fit.html