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In different combinations of angle and rotation (movement in horizontal plane), the size of errors falls within −3° 1.6° indicating acceptable accuracy for the objective of our study.
Using the natural logs for each data point effectively weights each deviation by its relative magnitude, which prevents the large absolute size of errors at later time steps from dominating the error measurement.
We emphasize that besides deriving the ssLNA method, in this paper we have used it to determine the range of validity of the conventional heuristic CME approach and the size of errors in its predictions.
We found that this delay elicited errors in average matches that are approximately twice the size of errors in the baseline condition, and that the variability among memory matches was also elevated compared to baseline.
As can be seen in Fig. 12, both the pattern and size of errors across eccentricities are similar in both experiments in the attend axis and attend meridian conditions.
We also provided support in the third experiment for the idea that the size of errors and the degree to which they are modulated by the distribution of attention depend on the retinal location of targets, not just on their relative location within a display.
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WEPAS accuracy test has revealed that under the defined condition the size of error is small (<±1°).
Furthermore, regarding Figure 2, one notices that variation of radiochemical yields, reflected by the size of error bars, is the larger the lower precursor amounts are.
The lowest-quality 10% of the data, as defined using the size of error bars on the data, was removed to improve interpretation quality; only the remaining 90% higher-quality data were stacked.
Considering the difficulties in model aqueous uranyl-organic complexes, and the fact that the model results are for UO2-KDO rather than the experimental uranyl acetate, this size of error is satisfactory.
When used in our study, it was shown to give more accurate measurement results, partly due to automatic calculation of curvatures, which greatly reduces the size of error.
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