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The temperatures predicted by the simulations were successfully validated against experimental data (average relative differences < 5%).
The average relative differences were all small (<0.11%) and the differences were not statistically significant (p > 0.5 for all three cases).
However, the t test for the average values of the average relative differences, D %, shows significant difference (p value (0.008<0.05)) for prediction of community team plots using model calibrated with field estimates of professional teams.
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The modified model presents a higher prediction precision with average relative difference of 1.24% at LFL.
The predicted settling velocity is in good agreement with the measurement, with an average relative difference of 12.49%.
Overall, however, it is quite small, taking values between 0.06 and 2.29%, with an average relative difference of 0.64%.
Voxelwise Bland-Altman analysis revealed an average relative difference of 0.9 ± 10.8 % between FMISO1 and FMISO2, as calculated from pooled data including all 19 lesions (n = 5320 voxels; Table 4, Fig. 3).
Glk is the percentage of sign agreement in year-to-year ring-width changes, RBAR is the average correlation coefficient between all tree-ring series, MS is the average relative difference in tree growth between consecutive years, and AC is a measure of previous-year influence on current-year growth.
The accuracy is a ratio between 0 and 1 that is computed as 1−F a u l t R a t e, being the fault rate the average relative difference between estimated and actual property values: FaultRate=frac{1}{n}sum_{i=1}^{n}frac{|{actual}_{i}-{estimated}_{i}|}{{actual}_{i}} (5).
However, the average relative difference of 2.6% to the reference was not significant (p = 0.62).
The average relative difference of 0.8% to the reference was not significant as well (p = 0.57).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com