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Given that the acoustic environment enables reliable detection of the muzzle blast, the MB model promises the most robust estimation algorithms.
Furthermore, a contribution analysis found that the design parameter da and the climatic parameter WS were considered to obtain the most robust estimation model.
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The total composite motor scores are also provided in Table 2 but the primary analysis was conducted on the TMQ because it is regarded as the most psychometrically robust estimation of motor ability.
Our most robust model of frequency estimation was the global model that included contig length, depth, and transcript type.
It is also demonstrated that, in the presence of both tested degradation factors, the DTF method is the most robust in terms of low estimation error, while the PDC in terms of low fictitious causal density.
In general, the FCM for mask estimation proved the most robust.
Another SA pulse seems to have occurred in 2013.5, but the length of the time series does not allow a robust estimation of SA for the most recent times.
Rousseeuw and Leroy (1987) indicate that robust estimation procedures are essential to identify the most reliable sample of the dataset and these can help identify possible outliers in the estimation model.
Estimation of wood volume from airborne LiDAR was most robust (R2 = 0.92, RMSE = 50.79 m3 ha−1) when trained and tested with the 1 ha experimental plot data.
Estimation of wood volume from airborne LiDAR was most robust (R2 = 0.92, RMSE = 50.57 Mg ha−1 ~14.13 Mg C ha−1) when trained and tested with 1 ha experimental plot data (n = 50).
15 In our dataset (EU-SILC) each individual is observed for at most five years, thus not generating enough variation to provide a robust estimation of a dynamic model.
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