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To validate the proposed analytical model, comparisons between theoretical and experimental results showed that good agreement is achieved with reasonable accuracy.
In order to validate the present developed model, comparisons between the numerical results and the available measurements are conducted.
To validate the model, comparisons between experimental and predicted results for different engines, operating under different conditions, were conducted.
Model comparisons between males and females, whites and minorities, and those in middle and high schools were also made but failed to yield statistically significant differences between groups in each pairwise test.
The model comparisons between the linear and the threshold models, based on both the AIC and the difference in the deviance, always chose the linear exposure response model.
Model comparisons between the five constructed models were done at two levels – for wildtype strains under different growth conditions and for knockout mutants under the same growth condition.
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We note that the model comparison between the Drift Criterion and Response Bias model is not meant to imply that there is no plausible role for changes in response bias in regulating recognition decisions; indeed, the posterior predictive checks reveal that the Response Bias model provides credible estimates of key patterns in the behavioural data.
The unsteady aerodynamic pitching moment is obtained via a semi-empirical dynamic stall model; comparison between the predicted pitching moment and experimental values is reasonable.
For each of the grouping variables, we did a model comparison between two multiple-group models.
For example, if the positional uncertainty in the experimental structure is greater than the RMSD value of the conformer model, comparison between the experimental and theoretical ligand structures are not particularly meaningful.
We have not attempted model comparison between the RLC and other relaxed clock models as part of this work, as it is a very challenging task.
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