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As the estimation of the gene sample variances improves, the inability of the common variance to describe the gene variances becomes more clear.
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Suddenly, though, dull public hearings on proposed zoning variances became heated battles.
Under conditions of low modal overlap the normalized variance of the power flow tends significantly to exceed that of the perturbed geometric parameter, while that of the associated coupling loss factor can be of the order of unity: both variances become small when the modal overlap factor exceeds unity.
The variances became even more profound when further stratifying by race.
The variances became zero when the respective gene substitution effects cross the x-axis.
However, the declines in variances become much slower thereafter, reflecting the slow decay of linkage disequilibrium and the gradual increase in the number of new segregating variants following a population expansion.
On the other hand, as t approaches zero, the variance becomes proportional to t2 in agreement with the convective model.
The main idea of ME-gPC is to decompose the space of random inputs when the relative error in variance becomes greater than a threshold value.
If there are carryover effects, the estimate of the variance becomes conservative for special neighbour balanced designs, so-called totally balanced designs.
This difference is reduced when the error variance becomes high.
When the initial heading variance becomes larger, the linear model outperforms the traditional models.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com