Sentence examples for modelling fit from inspiring English sources

Implementation of multiple bubble size models did not lead to any substantial improvement in the modelling fit with the experimental data, leading to the inescapable conclusion that the standard bubble breakup and coalescence kernels proposed in the literature do not adequately describe bubble transformations taking place under heterogeneous operating conditions.

We assumed variables used in the modelling fit normal or lognormal distributions and that variable-specific error terms were fixed.

Hierarchical linear and logistic regression models were used for modelling fitting.

For modelling and model fitting, standard software was used.

Further, the removal of each of these pathways at the second step of the modelling process significantly reduced overall model fit.

Also, differences in modelling strategy were clearly reflected by model fit indices, with the model that included formative SES specifications proving a poorer data fit.

Additionally, the group heterogeneity in cluster and residual variances may require modelling to satisfy model assumptions and improve model fit.

Like all previous research we were unable to identify a model that fitted the data well, although a number of modelling components appeared to be useful in improving model fit to the data, and therefore determine our conclusions regarding the factorial validity of Ryff's measures, with reference to her theory, and in regard to these 42 items.

We examined factor loadings and model fit with CFA for categorical items, performed in Mplus (modelling program) using the method of weighted least squares with mean and variance adjustment.

Assessments of the model performance, for example model fit, predictive accuracy, discrimination and calibration are also important issues in prognostic modelling studies.

An MFP (multivariate fractional polynomial) multivariate modelling approach was used, which, after fitting of linear factors, ascertains whether the model fit could be improved by using a polynomial form for any of the linear variables (Royston and Sauerbrei, 2008).