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Compared to GA-BPNN models constructed in a previous training set, the presented models also yielded a much improved prediction of more than 35% for all etch outputs.
The linear mixed models also yielded empirical Bayes estimates for the random intercepts, including their standard errors.
The PLS-DA models also yielded information regarding patterns of VEGF/Sema expression associated with aggressive prostate tumors.
The use of codon models also yielded the same topology, as well as the use of the non stationary model allowing G+C contents to vary among lineages.
Model selection for datasets simulated under complex codon models also yielded the largest dissimilarity for hLRT-AIC and the smallest for BIC-DT.
This, however, is not in itself sufficient to confirm identifiability, as nonidentifiable models also yielded positive | M F | values for some values of the residual variance.
Similar(53)
The model also yielded instantaneous values of the radius and sample length.
The Redlich Peterson model also yielded the best fit to experimental data for all three dyes using the nonlinear error functions.
Figure 5A shows the normalized MAPE comparison for the sub-tribal and administrative boundaries, and demonstrates that the MAPE for Gravity Model predictions made via administrative boundaries ranged from 150% to 230% higher than that of sub-tribal communities, while the Radiation Model also yielded 20%to50%0% higher MAPE values for administrative boundaries.
This model also yielded significant correlations between each factors (see Table 2).
Meta-analysis (Fixed effect model) also yielded similar result (Table 1).
Related(17)
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