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Therefore, the NBMF model has larger revenue than the NLMF model.

The comparative experiments show that the walkway designed by our proposed model has larger widths compared with the designed by existing models.

The normal copula model has larger likelihood value in all these cases.

When there is imbalanced and singleton number of trials, the frequentist random-effects model has larger type I errors than the Bayesian random-effects method.

As compared to the LBL and LBLX models, the SF model has larger |ε| quartiles for the summer and fall seasons and the Raleigh cohort, with similar |ε| quartiles for the winter and spring seasons and the Chapel Hill cohort.

It is clear that an additive model has large difficulties modeling data with highly varying ranges for the metabolites.

Intuitively, if a model has large weight and low variance, then most probably the model represents the most stable background.

For E/Rr > 10−2, e/E varies significantly and the scale of model has large impacts on the nonlinear flow behavior through intersections, while for E/Rr < 10−3, the scale effect is negligibly small.

The residual plots (not shown), in which the residual values were plotted against the linear predictor, showed that two observations in each model had large residuals (≥15) and were possible outliers from the cluster of observations.

However, the output of these models has large confidence intervals and results must be interpreted cautiously (Snick et al., 1997; Hunault et al., 2004).

models having the smallest data residuals everywhere (A, B, F, and G); models having slightly larger scalar residuals in the polar regions (C and E); models having larger residuals everywhere (D).