Sentence examples for evaluation of the fitted from inspiring English sources

Thus, they provide better evaluation of the fitted data than other, more commonly used methods (e.g., error estimations from the parametric variance-covariance matrix).

The experimental reaction rates, the R2 value (reflects the amount of variance), and the root mean square deviation (RMSD) were used for the evaluation of the fitting.

A cycle of the cooperation loop is completed by evolving the sub-regions based on the evaluation results of the fitted classifiers located in the corresponding sub-regions.

The emergence and development of boredom is attributed to both personal and situational variables and may be seen as a subjective evaluation of the fit between person and environment (Fisher 1993; Daschmann et al. 2011).

Since there are substantial differences in anthropometric, environmental and socio-economic factors between e.g. Scandinavia and southern Europe, an evaluation of the fit for Swedish subjects is required.

See the electronic supplementary material for a description of the COaLA model and an evaluation of the fit to data of the non-homogeneous models in comparison with homogeneous models.

However, when the influence of segregating variation is removed, this evaluation of the fit appears to deteriorate because levels of misspecification which were previously masked by the signal of segregating variation become more apparent.

Because sample size may unpredictably influence the evaluation of the fit of the model to the observed data, supplemental indicators of model fit, such as the comparative fit index (CFI) and root mean square error of approximation (RMSEA), were also applied (18).

The evaluation of the covariance of the fitted model parameters reveals important insights about the system behavior.

For the evaluation of the model fits, the following thresholds appeared to be appropriate: good model fit is indicated by a Comparative Fit Index (CFI) as well as a Tucker-Lewis-Index (TLI) above.95 [ 23], and a Root-Mean-Square Error of Approximation (RMSEA) of less than.05, while a RMSEA between.05 and.079 is considered to be adequate [ 24].

As studies become larger, this becomes less of an issue, because the potential for any single observation to have an important overall effect on any fitted model or on the evaluation of a fitted model diminishes with the size of the data set.