statsmodels.regression.linear_model.burg¶
-
statsmodels.regression.linear_model.burg(endog, order=
1
, demean=True
)[source]¶ Compute Burg’s AP(p) parameter estimator.
- Parameters:¶
- endogarray_like
The endogenous variable.
- order
int
,optional
Order of the AR. Default is 1.
- demeanbool,
optional
Flag indicating to subtract the mean from endog before estimation.
- Returns:¶
See also
yule_walker
Estimate AR parameters using the Yule-Walker method.
Notes
AR model estimated includes a constant that is estimated using the sample mean (see [1]). This value is not reported.
References
[1]Brockwell, P.J. and Davis, R.A., 2016. Introduction to time series and forecasting. Springer.
Examples
>>> import statsmodels.api as sm >>> from statsmodels.datasets.sunspots import load >>> data = load() >>> rho, sigma2 = sm.regression.linear_model.burg(data.endog, order=4)
>>> rho array([ 1.30934186, -0.48086633, -0.20185982, 0.05501941]) >>> sigma2 271.2467306963966
Last update:
Dec 23, 2024