The phrase "among the models with" is correct and usable in written English.
It can be used when discussing a selection or comparison of different models that share a common characteristic or feature.
Example: "Among the models with the highest ratings, this one stands out for its durability and performance."
Alternatives: "among the models featuring" or "among the models possessing".
The comparison with in-situ data suggests no substantial differences among the models, with LISFLOOD slightly outperforming the other two in terms of correlation as also supported by a pairwise comparison.
Among the models with FRP contacting OCP-CTD, which is thought to harbor the main FRP-binding site24,29,30,33,34, one had the FRP dimer lying along OCP where the concave side of FRP (involving highly conserved residues such as R60) was simultaneously contacting the OCP-NTD (Fig. 5d).
There are more dramatic differences among the models with respect to the behavior of their forecasts and confidence intervals for forecasts more than 1 period into the future.
Notwithstanding, among the models with interaction terms with income, only the ones where both the interaction effect is significant and the overall model is better than the model without the interaction term are reported.
The statistical tests that will be considered have four objectives: 1) to determine the number of components of the mixtures, 2) to choose the best mixture among the models with a given number of components, 3) to test for endogeneity and 4) to test for random effects.
This first model selection is performed among the models with
For all-cause mortality (among women and men) and injury (among men) the models with non-linear income are the best fit to the data.
The statistical indices indicated that the SVR-Firefly model has the highest ability among the models for simulation, with average MAPE=0.49%, R2=0.991 and RMSE=0.0035.
We only compare the models with single deletions among each other and the models with polarized insertions among each other (see also Table 1).
In only one 1° line is the P value of the LRT less than 0.4 (line 522, 0.14 < P < 0.15), so we pooled the ancestral control data over 1° lines to calculate the average among-pseudoline variance of the 1° controls and compared the likelihood of the model with the among-pseudoline variance included against the model with the among-pseudoline variance constrained to zero.
We addressed that question by likelihood-ratio test of the model with the among-gene (residual) variance estimated separately for N2 and the MA line with the greatest among-gene variance (MA99) lines vs. a model with a common among-gene variance.
