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However, four standard statistical evaluation criteria, viz.
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As shown in Eq. (23), the coverage rate defined as the ratio of the cumulative variances of the selected features and the total features were considered as a statistical evaluation criterion.
These statistical evaluations measure the relative quality of the models for a given data set, providing independent criteria to evaluate the fit of each probability density function (e.g. Burnham and Anderson 2002).
If statistical significance was the only evaluative criterion, then there were 213 dose responses eligible, and 74 of these satisfied the statistical significance evaluation criteria.
To perform the study, firstly, the mean areal rainfall estimated by different rain gauge densities using various statistical indices as evaluation criteria was analysed.
In order to evaluate the robustness of the statistical scenarios forecasting model, two evaluation criteria are defined to characterize the error relationship between forecasted and actual values of ramp event characteristics.
Finally, we detail the evaluation criteria and statistical tests used to assess the results.
Mean-squared error (MSE) and coefficient of determination (R2) are employed in this statistical analysis as the performance evaluation criteria for the LS-SVM model in estimating the CO2 oil swelling factor.
The large variation might be due to the differences in evaluation criteria and statistical measurement criteria.
A quantitative comparison of the two functions was achieved through statistical evaluation using the Akaike information criterion (AIC) and a cross-validation (CV) technique.
In these cases a second criterion, the statistical evaluation of risk-matings, was used to identify potential phenocopies.
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