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The mean errors between given and simulation-predicted time-courses were 1.6 × 10−5% and 2.0 × 10−3%, respectively.
The mean errors in glaciers, deserts and wetlands were −1.05 m, −2.03 m and −2.43 m, and 1.05 m in built-up areas.
The calculation indicates that the mean errors of the failure mechanism criterion, Seow Swaddiwudhipong criterion, Songs criterion and He Song criterion are 4.18%, 7.65%, 12.66% and 16.32%, respectively.
The mean absolute error for the surface material identification amounts to less than 8% and for indicator calculation the mean errors range between 3 and 11%.
Also, the test results of the forest datasets demonstrate that the mean errors of the proposed algorithm are compatible with those from other algorithms.
In image space, the mean errors of homologous points both in the column and row directions are reduced to below 0.1 pixel.
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Height of bar represents the mean, error bars represent s.d.
The mean error from the centre of the target was the KA score.
Furthermore the estimators can only evaluate the mean error of the whole spatial domain.
The mean error on the simulated osteotomies was 2.35 ± 1.35 mm.
The mean error formulas are derived based on error propagation laws.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com