Sentence examples for deviations in data from inspiring English sources

Therefore, the p = 0.5 criterion used here for identifying potential paralogs among populations and species could be fine-tuned by formal tests of HWE deviations in data sets with sufficient sampling sizes per species.

Further, the apparent and test performance showed that, in data with an ICC of 15% or 30%, the standard deviations of the calibration in the large within clusters for the standard model and the marginal risk calculation were higher (e.g. respectively 0.94 and 1.01), compared to the standard deviations in data with an ICC of 5% (respectively 0.44 and 0.45) (Tables  4 and 3).

Calculations of standard or relative error are common ways to look at the data and departures from deviations in the data will directly affect robustness.

This average is fairly resistant to large deviations in the data; however, it is too insensitive to significant changes in average deviation to be useful as a detection technique by itself.

Wheat streak mosaic virus, the only member of the genus Tritimovirus examined, displayed the largest deviations in diffraction data and helical parameters from the other viruses in the group.

Despite the importance of the accurate measurement of the thermal conductivity of graphene, deviations in previous data are still quite large due to the low signal-to-noise ratio in the measurement of graphene temperature, the uncertainties in the measurement of the heat dissipation, and the influence of the polymeric residues.

These differences were statistically significant only because of the extremely small standard deviations in the data.

In this experiment, the load to failure was the better factor because it showed lower standard deviations in the data.

However, we interpret this apparent change in K to be due to deviations in the data itself (such as the appearance of multiple-component or anomalous diffusion).

Sensitivity analysis investigating the impact of imputed standard deviations in continuous data was possible in the education intervention outcome for the disease target outcome at a short term time point.

30 } ; M = 20 M = { 30, 20, 15, 10, 5 } ; ξ = 0. 15 Since standard deviations in the data distributions were also used as optimization weights, a small amount of absolute error (η=0.001) was added to ensure errors in small values did not dominate the cost function.