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However, this method exhibits significant variability in the estimated smoothing parameters.
Recent studies have demonstrated that using Sa(T1) as the seismic scaling index for near-fault ground motions may introduce large variability in the estimated seismic demands.
Furthermore, the results suggest that the variability in the estimated groundwater discharge significantly reduced when the distance of the piezometer from the stream increased.
There was substantial variability in the estimated carapace lengths at 50% probability of retention (L50 ± S.E.: between 7.90 ± 0.97 and 13.76 ± 0.23 mm) and selection ranges (SR: between 2.70 ± 0.18 and 6.71 ± 1.72 mm) of the 27-mm square-mesh codend among trawlers and estuaries.
Moreover, the estimation variance is much smaller than the sample variance, which implies a relatively low variability in the estimated values.
While other mathematical methods assume a sequential ranking order for all members of an animal society, our approach provides more flexibility, in that the computed result allows for some variability in the estimated ranking coordinates.
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However, further studies are required to analyze the variability found in the estimated cumulative risk within the European context.
The advantage of a Bayesian approach is the ability to incorporate prior knowledge from other phenology and climate observations to reduce variability in the estimates, as well as a more robust estimation of uncertainty.
While it is self-evident that the estimate of the proportion of ICU patients at risk for late transfusion contributed to 100% of the variability in the estimate of the number of pRBC units saved, it accounted for 59% of the variability in the estimated dollars saved, with the uncertainty around the cost of 1 unit of blood responsible for the remaining 41% of the variability.
For small values of α, variability in the estimate of λ matters.
The variability in the estimate of strength reduction due to combined installation damage and creep is demonstrated to be less than the variability in the estimates of reinforcement load even for the case of a load model judged to give relatively accurate load predictions.
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