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Using the moving frame method, the errors and the variations were quantified, and the error-variation equations were established.
In an OOB method, the errors from data excluded for each regression tree generation are used to inform RF of the relative strength and correlation of that tree [37].
Using the presented method, the errors of estimate of the parameters of the structure and the MTMD can be taken into account quantitatively in the design procedure of the MTMD.
Then, a new method is developed and it is shown that in the proposed method the errors of estimation are globally ultimately stable with respect to a specific bound.
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For the proposed method, the error assessment relying on the residual error function is presented [24].
With the SY correction method, the error terms do not sum up to zero by construction.
To evaluate the effectiveness of the estimation method, the error rate is introduced as the evaluation indicator.
If the Standard Deviation of Depth Change (SDDC) method is considered as the most accurate method, the error incurred by the proposed method is less than 7%.
Compared with numerical simulation method, the error of these two cases are not more than 2%, which proved that this method is reliable.
Using the conventional method, the error norm is large when the target positions are on the far side in the lateral direction.
In our method, the error estimate convergence is (mathcal{O}(delta^{frac {p}{p+2}})), which does not appear to be a saturating phenomenon.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com