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In order to assess the quality of fitted model and its ability to estimate strength, RMSE and r2 errors are calculated and it is found that the calculation of r2 alone may give misleading indication since r2 is very sensitive to the scattering of the explanatory variable.
Standard errors are calculated using the delta method.
Means and standard errors are calculated using probability weights.
Hereafter, the reprojection errors are calculated on the evaluation scene.
Standard errors are calculated by bootstrapping with 250 replications.
The mean square errors are calculated as follows: (16).
After optimizing the tool path, the geometry errors are calculated again.
Standard errors are calculated using the delta method accounting for clustering on country of birth.
Finally, in Section 5, absolute, root mean square (RMS), and L ∞ errors are calculated.
The errors are calculated at the ends of each black segment.
Then, output errors are calculated by the difference of the expected and the actual values.
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