A Breusch-Godfrey test5 was also applied in order to test for higher order autocorrelation [23].
(3) Comparisons of simulated TCP traffic to measured Ethernet traffic shows qualitatively similar second order autocorrelation when think times follow a Pareto distribution with infinite variance.
The second is a test for autocorrelation, where the null hypothesis assumes no second order autocorrelation in the first differenced errors.
The amplitude of the noise was increased until the first order autocorrelation in the time series fell below significance for the given length of time.
Because error terms of consecutive observations were correlated, all analyses accounted for first order autocorrelation through auto regressive integrated moving average (ARIMA) and auto distributive lag (ADL) models.
Hence, for each ROI pair N was calculated as the number of volumes (112) multiplied by the factor (1−ρ2)/(1+ρ2) where ρ was the estimated first order autocorrelation.
