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CH4 was predicted with a relative error of between 3.8 and 19.2%.
Considering uncertainty in the satellite inputs and model parameters, we estimate an average model error of between 0.27 and 0.63 for log10-transformed size-fractionated production, with lower errors for the small size class (<2 μm), higher errors for the larger size classes (2 10 μm and >10 μm), and errors generally higher in oligotrophic waters.
These economic models usually have a standard error of between 1% and 3%.
The geography department at the University of Oregon teaches that this offset can be ignored to simplify estimates of distance, but the simplification results in an error of between 2.3 mile and 3 mile.
The search criteria, which can be restricted to a mass error of between 0.1 100 ppm, were set to 2 ppm and only chemical formulas containing the elements C, H, N, O, P or S were allowed for the final result table.
We have found that, even over relatively brief periods of time, the mixed expired CO2 can fluctuate by 3 to 9 mm Hg, which could introduce a measurement error of between 10% and 20%.
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The model is validated with empirical electricity consumption data in China between 1980 and 2012, based on which the error of approximations between 1980 and 2009 is ±15% and the error of predictions between 2010 and 2012 is [−8%, −5%].
Therefore the method proved to be robust with geometric bias errors of between voxels and errors due to noise remaining below 0.1127 voxels for all cases simulated with signal-to-noise ratios from 5 to 35.
When comparing our algorithm with other retinal segmentation methods found in the literature, we see comparable performance to the best algorithms [ 14, 15, 19], each of which shows average errors of between 3 4 μm.
Error1 maximal relative error of velocities between two adjacent time layers.
Error2 maximal relative error of temperatures between two adjacent time layers.
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