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And while error ranges may be wide for individual models, the errors in comparing models are likely to be much smaller, Mr. Joksch added.
With reverse engineered models, the errors in estimating the out-of-plane position decreased from 2.0±0.7 to 0.1±0.1 mm, without effects on the errors in rotations and the in-plane positions.
With CAD models, the errors in estimating the out-of-plane position decreased from 5.3±0.7 mm (mean±SD) to 0.0±0.4 mm, at the expense of a decreased precision for the other position or orientation parameters.
Although magnetic flux density declines rapidly with distance (as a cubic function), with realistic head models the errors in estimation of localization and amplitude of magnetoencephalography sources increase minimally even as sources move up to 2 3 cm deeper from the skull (Tarkiainen et al., 2003).
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For tall models (such as 15 and 20 story models) the error is independent from the ductility.
It is well known that in many statistical models, the error of estimators is measured in (L^{p}) norm [10 12].
For all head models, the error at 5 20 mm increases.
Both for the guinea pig and the cat models, the error of the hemispheric decoder starts increasing when cells with BF above 1.2 kHz are included.
For the water model, the errors are smaller than 0.04 for all parameters and station configurations.
We model the errors of ϑ ̂ b - 1 as zero-mean Gaussian with error covariance matrix Pb-1.
We described and modelled the errors rate according to the chronology of hospital stay.
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