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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.
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However, four standard statistical evaluation criteria, viz.
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.
Dose responses that could not meet the evaluation criterion for statistical significance (i.e., dose responses that did not have hypothesis testing) should not be included in the denominator in making the final frequency calculation.
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.
To perform the study, firstly, the mean areal rainfall estimated by different rain gauge densities using various statistical indices as evaluation criteria was analysed.
Statistical evaluation was limited to model-fit criteria and did not include other considerations such as evaluating the model fit in the low-dose region.
Models for each sequence were built using MODELLER [42], and evaluated for the general trend of atomic interaction by statistical potential [43] and a composite model evaluation criterion [44].
The BAEPs were classified on the basis of the Greenberg classification criteria and subsequently for statistical evaluation compacted on two classes: 1) present, and 2) absent [ 2].
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