Sentence examples for this error can be explained from inspiring English sources

Approximately half this error can be explained by error in the measured variables, the rest being due to real inter-area differences in noise reaction.

This error can be explained by the large amount of wear of the polyethylene.

The high resolution of these images and the rigidity of these structures indicate that this error can be explained mainly by (but not limited to) a registration error associated with augmented reality algorithms [ 19– 26].

Discrepancies with experimental semiconductor bandgaps are small and highly systematic (e.g., for most semiconductors [41]), and the origin of the error can be explained in terms of ladder diagrams missing in the random phase approximation (RPA) to the polarizability Π r, r′,ω) [43].

These high percentages of shared information highlight the high degree to which the error can be explained by combinations of variables.

There is probably no single factor by which the errors can be explained, but the tendency for distinctly perceptible differences to appear larger than those more vaguely perceived is important.

The remaining error can be explained because the position and number of the fixations do not correspond exactly to the distribution of words in the text.

All four errors can be explained by reference to informational signals, reputational pressure, or both.

Therefore the data suggests that at least some of the primer-related errors can be explained by errors during the primer synthesis itself.

However, the similar performance of the two rule-bases in terms of steady state errors can be explained due to the characteristic of the SOFLC to modify the rule-base before reaching a steady state control.

Thus, the tendency of deviations from HWE in the direction of excess homozygosity to improve EM convergence and genotype-call error rates can be explained by the information on the nucleotide-read error rate provided by additional homozygotes outweighing the effect of misspecifying the genotype frequency model.