Sentence examples for modelling were assessed from inspiring English sources

Both MR and ANN modelling were assessed statistically using mean square error (MSE), mean absolute error (MAE), Pearson correlation (r) and Willmott index of agreement (d).

There were three components to the research: firstly, observation of the effects of spatially distributed rainfall measurements and their effect on modelling were assessed.

Social-cultural factors related to the school environment (i.e. peer subjective norm and peer modelling) were assessed by single items using 5-point Likert scales.

All the regression models were assessed for their fitness'.

Models were assessed using goodness of fit (GoF) statistic.

Three ordinary kriging models, spherical, exponential and linear model, were assessed respectively.

The models were assessed by means of tenfold cross validation as well as independent validation [30].

Internal Working Models were assessed by SAT and locus of control by the Nowicki-Strickland Scale.

Briefly, appropriate nucleotide substitution models were assessed using jModeltest 2.1.7 (Darriba et al. 2012).

Six classic tephra volume models were assessed using a dataset from subsurface explosion experiments.

The final models were assessed for proportionality using the proportional hazards assumption test.