El 01/03/11 08:32, Sam Sam escribió: > Dear all: > > The Q statistic to test if the series is white noise in gretl is > Box-Pierce Q statistic, is it ?
If you are talking about what appears in the ouput text window of the correlogram. I think although in the help it is said to be the Box-Pierce Q statistic, really it is the Ljung-Box statistic If you apply an ols regression to a time series, you may test for autocorrelation via the "test" menu. In such a case the output text window shows a Q' estatistic, correctly described as Ljung-Box > But I can not find its formulation in gretl. > Is the formulation of Q statistic the same as the reference of Box & > Pierce (1970) ? I think gretl is using in both places the Ljung-Box statistic: (in latex format) Q'= T(T+2)\sum_{j=1}^M (r_j)^2/(T-j) being M the number of coeficients you want to test, T the number of observations and r_j the sample autocorrelation coeficient of order j. Q' has a chi-square asymptotic distribution with M-p-q degrees of freedom. It is asymptotically equivalent to the Box-Pierce statistic but has an smaller bias in small samples. So I think we should always prefer to use Ljung-Box Q' instead of Box-Pierce Q. -- Ignacio Diaz-Emparanza DEPARTAMENTO DE ECONOMÍA APLICADA III (ECONOMETRÍA Y ESTADÍSTICA) UPV/EHU Avda. Lehendakari Aguirre, 83 | 48015 BILBAO T.: +34 946013732 | F.: +34 946013754 www.ea3.ehu.es