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Using analysis of variance (ANOVA), the significant of the model was justified also and the results were shown in Tables 2, 3 and 4. The model F value is the ratio of mean square for the individual term to the mean square for the residual.
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Compared to normal component-based models the most significant of the current model is that this simplified model has very good numerical stability under static solver condition.
Generally, results from Table 4 were used to evaluate the significant of this model.
All of the characteristics were statistically significant predictors of the model of patient preference.
All of the treatment characteristics were statistically significant predictors of the model of patient preferences.
New variables are being added to the model until no significant improvement of the model can be made.
However, significant weakness of the model is still evidenced in the prediction of the vapour velocity.
The results show that considering adjustments results in a significant improvement of the model's explanatory power.
As shown in Fig. 5d, a significant deviation of the model (solid line) from experimental data is evident.
Significant validation of the model has been possible using CREAM data flying onboard Concorde during the September/October 1989 events.
Since the number of components dominates the size of the traditional model equations, a significant reduction of the model size is obtained through this new technique.
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