Sentence examples for criteria statistics from inspiring English sources

Lower Akaike Information Criteria statistics were considered to indicate a better statistical fit of the model to the data.

Table 3 Forecasting error criteria statistics of different SSCBs SSCBs Ramp start time Ramp duration Ramp end time Ramp swing Ramp rate NMAE RMSE (min) NMAE RMSE (min) NMAE RMSE (min) MAE RMSE (p.u).

Akaike Information Criteria statistics were used to compare the fit of models based on questionnaire and accelerometer assessments.

To select among error autocorrelation structures, nested models were compared using likelihood-ratio tests and non-nested models were compared using information criteria statistics (Pinheiro and Bates, 2000).

Coding decisions were based on variable distributions and comparison of Akaike information criterion statistics.

Information criterion statistics suggest the four-class model best fits the data.

Performance of the models to inform the inclusion of variables was assessed using C-statistics, Akaike, and Bayesian information criterion statistics.

A pure linear model fitted the data nominally better than did a pure dose-squared model (difference in Akaike information criterion statistics of 2.47).

However, information criterion statistics such as the Akaike Information Criterion AICC), available in Latent Gold Version 3.0, have been developed to provide an idea of the relative distance of two or more models from a theoretical best model [ 37].

Procedures based on information criterion statistics for comparing different structures of the random effects component are generally suitable to achieve a model which is both adequate to explain the sample data and, upon validation against an external data set, generalizable to the broader population (see Figure 1).

The test for non-linearity based on a comparison of linear and linear-quadratic dose-response models was not statistically significant (P=0.17), but the pure quadratic model, which suggests relatively little risk at lower doses, nominally provided a slightly better fit (difference in Akaike information criterion statistics of 1.87) than did the linear model.