Sentence examples for error indicates an from inspiring English sources

A positive mean percentage error indicates an overestimation of weight, while a negative value indicates an underestimation of weight.

Thus, a negative magnitude error indicates an underestimation of the true target location (i.e., a foveal bias), and a positive magnitude error indicates an overestimation (i.e., a peripheral bias).

For example, if the currently relevant dimension was associated with a go response and the previously relevant dimension was associated with a stop response (incongruent go trial), then an omission error indicated a failure to shift attention and the shift trial was excluded.

The choice to save the banks from the financial consequences of their own errors indicates a shift in values away from belief in the wisdom of the market.

The low sensitivity of parameter estimates and regression analyses to significant amounts of randomly introduced errors indicates a high level of robustness of the dataset.

Basically, systematic errors indicate an issue in the signal processing that can be corrected by improving sensing, amplification, calibration, or by correction (Fig. 1).

The values of the estimated components are nearly the same whether the short or deep pedigree is applied, but standard errors indicate an increased accuracy for the estimates in the deep pedigree.

This finding is consistent with studies that report significant associations with perseverative errors (indicating an inability to shift attention) in the Wisconsin Card Sorting Test and the California Verbal Learning Test (Stiles and Bellinger 1993; Surkan et al. 2007).

We observed a high inflation of the percentage of SNPs out of HWE for SNPs with more than 8 Mendelian errors, indicating a genotyping of poor quality, and removed 3529 SNPs with more than 8 Mendelian errors.

Three laboratories (17.6%) had a pattern of errors, indicating a more general assay validation problem.

In general, smaller AIC, CAIC, BIC and classification errors indicate a better model, whereas the opposite applies for the entropy.