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The highest estimated genetic correlations were found between adjacent regions, whereas the lowest estimates were found between any region and belly (except for neck-belly in line WB).
Failure pressure estimates were found to be in good agreement with test results.
Biomass estimates were found to be robust with regard to variation in mortality.
The regional quantile estimates were found reliable as those were always obtained by regional frequency analysis.
All parameter estimates were found to have a p-value of less than 0.001 providing high significance.
Specifically, heating demand estimates were found to be within a few per cent of one another, while estimates of cooling demand were slightly more varied.
Relative uncertainties in the calibration factor estimates were found to be from 0.06 for children aged 1 yr to 0.1 for 10-yr and 15-yr children.
Similarly, higher activity estimates and thus higher absorbed dose estimates were found in patient data when all compensation methods were applied.
The revised CASA monthly NPP estimates were found to be 25%% lower overall than the tower-based NPP measurements, for reasons explained below.
The BEF-based biomass estimates were found to be more biased than the regression-based ones in 6 out of 11 tree components (Table 5).
Only one previous study has compared the Mercy method with parental estimates, in which parental estimates were found to be more accurate [68].
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