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Exact(5)
Following the AIC results, the 2TCM VT were considered as reference values for model comparison as it was the model which provided reliable fits across all brain regions.
The F-test was considered as the reference for model comparison as it is a frequently used hypothesis test [20], [21].
This enabled us to assess both the efficiency of parameter estimation and veracity of model comparison as a function of SNR.
We conducted the same model comparison as in our primary analyses on these participants.
Besides, we consider another model witout mutual information for the purpose of model comparison as follows: (14) f i j (3 ) (r, a, b ) = r i j r ¯ i j ⊗ δ (a i, b j ), (15) g i j k l (3 ) (r, a, b ) = r i j r ¯ i j ⊗ r k l r ¯ k l ⊗ δ (a k, b l ).
Similar(55)
Correlations between the chromosome-specific residual sets were computed for all 15 pairs of model comparisons, as well as for the corresponding predicted phenotypic value sets.
We simulated sets of 500 trees with both levels of bias for each of the three parameter pairs as well as sets without bias for a six/five and four/three model comparisons as seen in Additional file 1: Table S4.
In addition, we employ the TEC from the IRI-2007 model, the widely-used ionosphere model for comparison as well.
The a-Si/μc-Si PV plant, installed at Portici, represents an adequate case study for the three models comparison, as both design and acquired data are available.
Classical methods of model comparison for regressions, such as F-tests, are not available for a truncated normal, so instead we used AIC; Akaike's information criterion (for an overview see Hastie et al., 2009 for example).
The GO analysis was performed as mentioned previously, using the probes remaining after application of the model comparison filters as input and the universe consisting of the significant probes for the LRI or HRI set.
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