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Further, the proposed method is statistically efficient relative to conventional approaches.
Moreover, the classification accuracy achieved by the cluster-based category assignment method is statistically significantly higher than that attained by the individual-based method.
Our results show that the prediction accuracy of the proposed method is statistically significant.
It was found that the performance of voting-based consensus method is statistically significant when using both criteria.
In contrast, it is concluded that the capacity estimated by the PLM method is statistically different than the capacity estimated by the breakdown method.
The results showed the proposed method is statistically superior, as it increased accuracy over the baselines when applied to the experiment's cross-language and text-image classification tasks.
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The total number of positive tests for each method was statistically different (McNemar test statistic = 137.6; df = 1; p < 0.0001).
For the subscale Self-Esteem, the statistical interaction between age and survey method was statistically significant.
The proposed method was statistically validated against a reference procedure using samples of water from different sources and beverages, indicating that there are no significant statistical differences at a 95% confidence level.
Finally, the proposed method was statistically validated against a reference procedure using samples of water and physiological buffer with 2% (w/v) of horse serum added, indicating that there are no significant statistical differences at a 95% confidence level.
Drug-induced changes in cardiac output measured by the impedance-A method were statistically identical to thermodilution.
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