Sentence examples for model fit increased from inspiring English sources

Disadvantages include possible lack of model fit, increased sample size requirements and the need for more specialised computer software [ 41].

The model fit increased modestly with the addition of diffuse OA (model C‐statistic 0.738, compared to 0.731 in the model excluding diffuse OA).

For example, item 1 had the second lowest factor loading in the PCA (though still substantial, Table 3), and model fit increased significantly in the CFA when the item was removed from the model.

Model fit increased with the 'agricultural land'/'natural vegetation' resistance ratio, but the strength of the relationship between genetic differentiation and IBR stabilized beyond a ratio 1000 1 (Table 2; Fig. 5).

The model exclusively including geographical distances between populations (i.e. IBD) was not significant and model fit increased with higher ratios of agricultural land/natural habitat resistance (Fig. 5), indicating that the subtle genetic differentiation observed within the study area probably reflects the impact of farming and land clearing on the species' demographic dynamics.

The C-statistic, a measure of model fit, increased from 0.841 in model 1 (without any urinary proteins except for AER) to 0.857 with progranulin, 0.871 with THP, and 0.888 in the stepwise selection model, which included model 1 + THP, progranulin, and clusterin, and to 0.889 in the final model, which included also AGP.

If we make the assumption that the cueing effect can be explained by the uncertainty reduction alone, the RMSE of the model fit increases 2 4 fold.

Model fit asymptotically increased with higher filter cut-off frequencies – as one might expect when degrees of freedom are removed from the data (making it easier to fit).

An F-test for reduction in model error after moving from one segment (standard linear regression) to two segments was significant at p < 0.001 for both water districts, and overall model fit (R) increased by 4% in Little Hocking and 3% in Lubeck after inclusion of the spline.

As postprandial triglyceride levels are more strongly correlated with the other MetS features than fasting triglyceride levels (29), the use of postprandial triglycerides levels may have improved model fit and increased the factor loadings of the lipid factor in the EPIC-NL case-cohort.

The model fit also increases substantially from the younger the older age group.