Model selection was based on the Akaike information criterion (AIC), and from the sets of models the most parsimonious model was that with the lowest AIC: in cases when the difference in the AIC between successive models was less than 2, we further checked whether the differences in the residual deviance between these modes were significant.
In this case, the effect of the vasculature was lower and the difference between the two head models was less than 10% confirming the ability of HD tomography procedure to remove the signal contribution originated from superficial tissues.
Although, in the previous simulations, the difference between the former and proposed models was less than these values in the new simulations, it was shown that these little differences are significant in the 5% significance level.
If the difference between the AIC of two models was less than 10, the more parsimonious model was selected.[ 42] For all analyses, we also compared models with fewer parameters to the full A, C, and E correlated factors solution.
The multi group analysis showed that the difference in CFI (ΔCFI) between the base line model and each of the 3 other models was less than 0.01.
All mixture models consistently outperformed the classical model, but the comparisons between mixture models were less conclusive, giving small differences between the models and different ranking of the models between the different subsets (Table 7).
Yet the "coarse-grain" statistic that compares areas contained within a given contour level reveals that the differences between the models are less pronounced.
However, the discrepancy between the two models is less for a given range of parameters.
On the other hand, AIC or AICc difference between the fitted models is less than 2 in the cases of the M ≥ 6 dataset with MA = 8 and M ≥ 6.5 dataset with MA = 4 (Table 3) suggesting that these medium eruption magnitude categories might be represented by either the exponential or double exponential model (Burnham and Anderson, 2002).
Wind tunnel experiments have shown that the primary effect of the upwind tower is to retard the flow separation on the top and sides of the downwind tower, provided the separation distance between the twin tower models is less than the building height (L/H<1.0).
