statsmodels.tsa.statespace.mlemodel.MLEResults.test_serial_correlation¶

MLEResults.
test_serial_correlation
(method, lags=None)[source]¶ LjungBox test for no serial correlation of standardized residuals
Null hypothesis is no serial correlation.
 Parameters
 method{‘ljungbox’,’boxpierece’,
None
} The statistical test for serial correlation. If None, an attempt is made to select an appropriate test.
 lags
None
,int
or array_like If lags is an integer then this is taken to be the largest lag that is included, the test result is reported for all smaller lag length. If lags is a list or array, then all lags are included up to the largest lag in the list, however only the tests for the lags in the list are reported. If lags is None, then the default maxlag is 12*(nobs/100)^{1/4}. After 0.12 the default maxlag will change to min(10, nobs // 5) for nonseasonal models and min(2*m, nobs // 5) for seasonal time series where m is the seasonal period.
 method{‘ljungbox’,’boxpierece’,
 Returns
 output
ndarray
An array with (test_statistic, pvalue) for each endogenous variable and each lag. The array is then sized (k_endog, 2, lags). If the method is called as ljungbox = res.test_serial_correlation(), then ljungbox[i] holds the results of the LjungBox test (as would be returned by statsmodels.stats.diagnostic.acorr_ljungbox) for the i th endogenous variable.
 output
See also
statsmodels.stats.diagnostic.acorr_ljungbox
LjungBox test for serial correlation.
Notes
Let d = max(loglikelihood_burn, nobs_diffuse); this test is calculated ignoring the first d residuals.
Output is nan for any endogenous variable which has missing values.