ArmaProcess.acovf()

statsmodels.tsa.arima_process.ArmaProcess.acovf

ArmaProcess.acovf(nobs=None) [source]

theoretical autocovariance function of ARMA process

Parameters:

ar : array_like, 1d

coefficient for autoregressive lag polynomial, including zero lag

ma : array_like, 1d

coefficient for moving-average lag polynomial, including zero lag

nobs : int

number of terms (lags plus zero lag) to include in returned acovf

Returns:

acovf : array

autocovariance of ARMA process given by ar, ma

See also

arma_acf, acovf

Notes

Tries to do some crude numerical speed improvements for cases with high persistance. However, this algorithm is slow if the process is highly persistent and only a few autocovariances are desired.

© 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.tsa.arima_process.ArmaProcess.acovf.html

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