Sentence examples for deviations in estimation from inspiring English sources

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We also found large deviations in estimation of outer cup diameter, which should be the same before and after exposure to wear.

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In the previous work of Chibane et al. the hydrological model was derived from the hydrological water budget, however, this model presents a high deviation in estimation of recharge for low precipitation value (P < 400 mm).

Both lithospheric and quiet-time magnetospheric signals have been shown to lead to deviations in the estimation of ionospheric signatures in the order of 10 15 % in magnitude in the presented examples.

As a consequence, slight deviations in the estimation of the position of the source may result in putting the null at wrong time delays, vanishing the effect of the null itself.

As a result poor boundary conditions (i.e. noisy slope data at wavefront edges) can introduce large deviations in wavefront estimation [ 10].

Similarly, correlation between allele frequency deviation and sequencing coverage is weak and not significant, although the direction of correlation is in agreement with what would be expected if lower coverage explained larger deviations in frequency estimation.

We estimated dominance and epistatic effects of SNPs on various traits in beef cattle and the variance explained by dominance, and quantified the increase in accuracy of phenotype prediction by including dominance deviations in its estimation.

Deviations in the estimation of the estrogenic potency of the effluents by the CA model, compared with the measured responses in the rYES, are likely to have resulted from inaccuracies associated with the measurement of the chemicals in the extracts derived from the complex effluents.

A single generalized Weng model cannot accurately describe this characteristic and causes large deviation in production estimation.

Second, bz-rates allows the user to take into account the z deviation in the estimation of m by using the formulation suggested in (Foster 2006) and initially proposed by Stewart et al. (1990).

The effect of outliers on accuracy estimation was evaluated by comparing deviations in the estimated and true accuracies for datasets with and without outliers.

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