Although, as seen in Table 1, the predictions are generally good (% error −20.0 to 3.5), where the large error deviations are again due to low λ, there is a trend towards the underestimation of rgĝ as prevalence becomes low (Table 4).
Then, although σ 2 is much larger than σ 1, the MSE is nearly constant with respect to the standard deviation of NLOS noise and bias because the effect of large error standard deviation of LOS/NLOS mixture sensor in R l is attenuated by the weighting matrix Q ll) (see (19) and (20)).
During cyclic plastic loading these deviations will accumulate and may result in large errors to predicted strains.
This may suggest that the Calgary road network contains several parts that follow the Manhattan pattern (hence a similar mean value), but the presence of different patterns in the same network increases its error (large standard deviation).
Based on WOD errors, the large deviation results of the least squares estimator in the nonlinear regression model are established, which extend the corresponding ones for independent errors and some dependent errors.
Here, too, GBPVC leads to distinctly larger errors for small target structures, while the deviation for larger objects is comparable to the deviation observed with LBPVC.
This model showed large deviations of error map caused by non-linearity of measured geometric errors.
We considered such an approach inappropriate for this study because such a correction would have shifted the error from large absolute deviations among high means to large relative deviations among small means.
There are slightly larger deviation errors with the concentration of C and N probably due to the light element and small electron scattering cross section.
The mechanistic bubble departure diameter model of Klausner et al. and its recent modification by Yun et al. were found to correctly predict all the observed parametric trends, but with large average errors and standard deviation: 65.5 ± 75.8% for Klausner's and 37.9 ± 51.2% for Yun's.
Since the methods per definition operate with low countable virus/plaque numbers they are prone to handling errors and have large standard deviations making it necessary to measure large datasets to reach statistical significance.
