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Figure 12 Symmetry of the error distributions.
The error distributions involve families of skew-normal distributions.
We selected two error distributions for the study.
Black horizontal bars indicate the mean of the error distributions.
Fig. 5 Evolution of the cumulative error distributions during training.
What rank scores would be best for such error distributions?
We observe that the estimated error distributions are located at the asymmetry in the empirical error distributions.
Absolute error distributions in friction factor values by proposed and other methods are presented.
Real-world datasets and holdout samples are used to illustrate computation of posterior misclassification error distributions.
The error distributions of the two approximate equations are compared with the finite element data.
These nonlinear codes are capable of providing uniform error detecting coverage independently of the error distributions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com