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Exact(17)
To further verify whether the differences between these methods are statistically significant, we use approximate randomization [35] for statistical significance testing on F-beta.
The reliabilities of the three methods are statistically evaluated and compared.
The proposed methods are statistically more powerful and computationally more efficient than existing ones.
Our experimental results show that our methods are statistically significantly better than all the other classification methods used.
Wilcoxon signed rank test conducted at 1% level of significance, indicated that the proposed methods are statistically significant against all methods.
We place evaluating intent as a motive behind a redistricting plan into a formal quantitative micro-economic framework to evaluate existing and emerging methods, and find that these methods are statistically flawed.
Similar(43)
The concentrations obtained with both methods were statistically compared.
Deer density estimates by the four methods were statistically similar at all effort levels simulated.
In this study, impact of initial ensembles on posterior distribution of ensemble-based assimilation methods is statistically analyzed.
Both methods were statistically correlated using a 25-run, five-factor multiple-level d-optimal mixture design.
Modelled maximum power and annual energy values obtained through both methods were statistically compared to the experimental ones.
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