Sentence examples for the size of errors from inspiring English sources

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.

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.

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.

Prior work suggests that there are distinct neural mechanisms involved in error-based learning that depend on the size of error experienced.

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.

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.

These plots display any size of difference related to the size of error trends in the data and also provide a pictorial representation of bias and whether the values are within the 95% agreement limits.

A final limitation was that the size of error in fields containing continuous data was not measured as we only identified mismatches in the datasets, and this is required to assess more fully any impact of error in those fields.