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It is anticipated that scaling the devices in submicron dimensions would in principle restrict the defect density and distribution variances, while at the same time, heat accumulation due to ambient temperature could accelerate the switching process.
Raw data for each variable were then transformed for Levene's Test following the procedure described by Plavcan and Cope [36] to compare distribution variances between taxa.
A two-sample two-sided F-test was applied to compare the distribution variances.
On the other hand, the distribution variances of both bp % and (A-U) % could explain the observed stability variances.
This procedure, however, also needs a shrinkage parameter for the sub-population distribution variances; often, in high-dimensional cases, the number of dimensions exceeds the number of samples, which would result in computational problems.
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The elements that presented a high degree of variability (i.e. a high distribution variance) were identified as those related to former mining activities.
The proposed method also uses the nucleotide distribution variance which has less computational cost than the Fourier transform to extract the period-3 spectrum.
The effects of function linearity, type of random variable distribution, variance, number of random variables, and target reliability index are investigated.
Finally, the tolerance of the components is designed through the calculation of distribution variance and mean.
Table 2 Sample parameters used in the multi-watermark MATLAB/Simulink implementation Distribution Variance (σ 2) Offset Gaussian 5.9536 0.0 Rician 3.8870 3.7106 Rayleigh 3.0581 2.5553.0581
Residuals of the models were checked for normal distribution, variance homogeneity and influential points.
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