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Root mean square errors were less than 3° between measurement systems for all body segments.
(c,f,i) show the corresponding TV inpainting results and root mean square errors.
Figure 3 shows root mean square errors (RMSEs) comparison of four methods.
The Cramér Rao lower bounds for these parameters are studied and compared to the estimator mean square errors.
Root mean square errors (RMSE) of the DBHs acquired using the Tango device were up to two centimetres.
At the plot level, model inference gave root mean square errors of 5.3 11.9% for all attributes.
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Usually the square of the error is minimized; however, non-mean square errors have also been studied [11].
The root-mean-square errors of predictions (RMSEPs) were between 0.48 and 1.37 ng ml−1.
And the root-mean-square errors are also computed and listed in Table 13.
Figure 7 displays root-mean-square errors (RMSE) obtained by each iteration of hybrid TLBOFIS.
The normalized root-mean-square errors are plotted in Fig. 8.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com