Sentence examples for mean relative deviation from inspiring English sources

A satisfactory agreement has been observed with a mean relative deviation of 0.8%.

For each subset, the mean relative deviation between the corresponding profiles are calculated.

The goodness of fit of each MLR model was evaluated using statistical parameters: coefficient of determination, root mean square error and mean relative deviation modulus.

The mean relative deviation between the experimental and theoretical results was lower than 5% and a close agreement was observed between both theoretical treatments.

For Aorta-VOI-3, Aorta-VOI-4, and Ventricle-VOI, the mean relative deviation was significantly different from zero using both reconstruction methods (Table 2).

The modified Ergun model with higher values for coefficient of determination, lower values for root mean square error and mean relative deviation modulus was the best model for predicting pressure drop across green figs bed for the conditions studied.

Table 3 Mean relative deviations of the fitted and reference TIACs averaged over all patients and all organs.

Both PSF algorithms resulted in the highest mean relative deviations at SBR1 and SBR2 compared to 3D-OSEM, 3D-OSEM + TOF, FBP, and FBP + TOF.

Mean relative deviations of K* from K, i.e., (K* − K /K, were tested by a one-sample t-test, and deviations with a p value < 0.05 were considered statistically significant.

The root-mean-square (RMS) and the mean relative deviations (MRD) from the original data are MRD ∼ 3.7%, RMS ∼ 14.3 km and MRD ∼ 5.4%, RMS ∼ 23.4 km for the periods of low and high solar activity, respectively.

In contrast to the former, both PSF algorithms provided smaller mean relative deviations of the SUVmean from the reference SUV at SBR1 as well as SBR2 compared to 3D-OSEM, 3D-OSEM + TOF, FBP, and FBP + TOF.