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We do not want to underestimate the true effect size of a marker when calculating the variance lower bound.
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Since these coefficients are squared when summing the variances, lower coefficients can drastically reduce the variances of the genetic effects.
The Minimum Variance Lower Bound (MVLB) represents the best achievable controller capability in a variance sense.
In the multivariate model, which explained 22% of the total variance, lower baseline KPS remained significantly associated with lower FIQ at 12 weeks (0.12, 0.07 to 0.16, p < 0.000).
Overdispersion corresponds to cases of a variance greater than the mean for most of the population, and underdispersion to the opposite, a variance lower than the mean.
In the present study, the values of residual variance lower than 10% were used as the threshold [74].
The KD values presented represent the mean values with a variance lower than 8%.
We also notice that the variance is lower for systems using higher data rates.
The intuition we get from [13] is that the higher the variance, the lower the weight of the controls, hence 'cheap' controls and vice versa.
Finally, the variance of lower flexible joint deflection angle is given, and the minimum variance and the optimal top tension are figured out accordingly.
If the variance is lower than a predefined threshold, it means that there is not much detail in that block (i.e., pixels of the block are very similar to each other), thus, that block is not divided further.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com