Sentence examples for measures for model from inspiring English sources

The paper also contains several statistical measures for model selection.

In addition, GFI and NFI were also used even though they are not recommended as measures for model fit.

To achieve the goal, this study introduces conceptual UCD and Latent Semantic Engineering (LSE), a new conceptual UCD approach, defines measures for model accuracy (MA), conceptual matching accuracy (CMA), user-centered design accuracy (UCDA), and conceptual design accuracy (CDA), and compares the LSE approach to other approaches.

Additional features, for example target secondary structures have been shown to be a significant factor [25], [27], [30], [32] [34] in siRNA activity, and that feature set was not explored here, however adding target mRNA secondary structure features does not necessarily result in improved measures for model precision or accuracy if other features already dominate the model [32].

The Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), and the Root Mean Square Error of Approximation (RMSEA) were used as measures for model fit.

Some research groups included additional individual level socioeconomic measures for model 2 and in secondary analyses [see Supplemental Material, Table 1 (doi:10.1289/ehp.1002725)].

This model utilises reliability measures, for modelling different aspects of the uncertainty.

Then, the design object dynamics must consider several measures for modelling these different sources.

We used standardized cost-effectiveness measures for modeling T2D disease interventions, which allow comparison with other published findings and HRQoL of other diseases [ 38].

MAE is another useful measure for model evaluation (Eq. 9).

The log-likelihood is not a good measure for model generalization.