Sentence examples for indicative of the model from inspiring English sources

Exact(2)

This is perhaps indicative of the model not fitting the data as well, for instance the logistic model may not be the best fit in this scenario, or that the lack of census data on cases might be more problematic here.

Comparisons of modelled beta-diversity curves (Figure 2, solid lines) with observations (Figure 2, hollow symbols) show a remarkably good agreement over the entire range of scales available, which is quite indicative of the model descriptive capabilities if one considers the relatively small number of parameters involved.

Similar(57)

The usual care group is indicative of the current model of care in government facilities and the prevalence of caries reported was consistent with other studies conducted in the same study area and similar socioeconomic populations.

It is therefore critical for clinicians to understand that standard goodness-of-fit criteria do not take simulation characteristics into account and may therefore not be indicative of the best model.

Values greater than 0.95 / 0.96 for these indicators are indicative of good model fit; 3) the Weighted Root Mean Square Residual (WRMR): Yu [49] recommend that a model with a WRMR of less than 1.0 indicates good fit; and 4) the chi-squared (χ 2 ) test.

For MSC, a higher value implies a better fit and hence the highest value will be indicative of the most appropriate model.

High values on the leading diagonal are indicative of good model separation and reflect the quality of the empirical classification.

Variety is indicative of the "whole organism" being the model.[17] A further distinction can be introduced between "model organisms" and "experimental organisms" (Ankeny and Leonelli 2011) or "general model organisms" and "Krogh-principle model organisms" (Love 2010a).

The results were indicative of the stability of the model relating the observed structural changes during the MD simulation to the suggested ligand receptor interactions.

The Q2Y value was indicative of the predictability of the model generated.

Values between 0.05 and 0.08 are indicative of good adequacy of the model, and below 0.05 deemed strong evidence of absolute fit [47, 48]; 2) the CFI.

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