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Observations with higher Wqi have higher variances (lower precisions) and hence diminished influence on the likelihood.
Since these coefficients are squared when summing the variances, lower coefficients can drastically reduce the variances of the genetic effects.
Designs with 100 sires, each with at least 100 offspring, are required to have standard deviations of estimated variances lower than 50% of the true value.
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The Minimum Variance Lower Bound (MVLB) represents the best achievable controller capability in a variance sense.
At variance, lower density foams display a quasi-linear behavior up to 35% strain.
By Considering Fig. 5 and Table 1 jointly, it is concluded that VM cannot achieve data rate higher than and SINR variance lower than Max-SINR simultaneously.
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 do not want to underestimate the true effect size of a marker when calculating the variance lower bound.
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 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).
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