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ANOVA was used to validate statistical parameters.
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Their simulation program GENS can be used to generate simple, independent case-control samples with clear epidemiological interpretations and can be used to validate a statistical method or compare the performance of several statistical methods under specific assumptions.
The optimized classification function parameters were then used to validate the statistical power to detect novel putative fragments.
The two algorithms applied in the article are here described and discussed, together with the phylogenetic tree used to validate the new technique, and the statistical methods employed to analyze the experimental results.
R statistical packages were used to validate the data.
Several statistical tests are used to validate the proposed models.
Monte Carlo simulations and their statistical analyses are used to validate accuracy, convergence and effectiveness of the scheme.
The results of the statistical analyses are used to validate the consistency of the proposed normalized fractional adaptive methodologies in terms of convergence, accuracy and robustness.
Finally, the recent connection data were used to validate the predictive capability of the developed statistical model.
Relative operation characteristic (ROC) statistical methodology was used to validate the accuracy of the model.
Root mean square error (RMSE), another statistical parameter, has also been used to validate the model.
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