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Stratification increases the variability and thus provides more precise variance estimates, while clustering decreases variability and thus variance estimates are less precise.
Distributing sampling time across more days gave in general more precise variance component estimates, but also reduced accuracy in some cases.
Finally, the small raw sample sizes for Asian Americans result in less precise variance estimation, which may result in an underestimate of differences.
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Incorporating more informative priors, for example shrinkage priors, can produce more precise and accurate variance component estimates.
In this work, we present a new modeling approach that generates precise (low variance) and accurate (low mean error) wireless signal strength mappings.
These results show that the moving total model offers a way to estimate the effect of PM on mortality that is both more precise (smaller variance) and typically more accurate (smaller bias) than the standard model.
The results presented here show that, for estimating the total effect of PM on mortality, the moving total model produced estimates that were substantially more precise (smaller variance) compared with those obtained from the standard model.
If the estimate obtained before moving on to another sector after about τ (Q ) steps is more precise than variance Δ 2 = var Q (A (Q ) ) of A (Q ) over topological sectors, then the autocorrelation time will have a significant contribution from the topological modes.
Thus it would be interesting to apply more sophisticated procedures in order to obtain more precise estimates of variance components of residual variance in beef cattle.
Each RAS variable has distinct variability, and as shown in Figure 1(b), RAS1 may be very precise with low variance, while RAS2 may exhibit high variance, and vice versa.
12 Repeated outcome measurements permit patients to contribute more than one outcome event or measurement, which also increases study power, allowing more precise estimation of variance between patients while permitting estimation of the variance within patients.
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