Sentence examples for metric variance from inspiring English sources

Time stability of absolute soil moisture and its components were analyzed by using both the "accuracy" metric mean relative difference (MRD) and the "precision" metric variance of relative difference (VRD).

The environmental variance was estimated using the metric variance measured in the F1 population, which being genetically identical show only the variation due to environmental factors, genetic drift, and measurement error, which together provide an estimate for the uncertainty in the examined systems.

We demonstrate that metric variability (variance) is strongest in males, with little difference between females and castrates, and that, in our sample, nutrition has little influence on variance in any sex cohort.

To quantify the quality of the fit, we use the statistical metric "fraction of variance unexplained" (FVU), defined as the ratio of the model mean squared error to the variance of the experimental data.

Results show that country diversity is the most dominant metric explaining data variance and has a negative effect on team politeness (it has a tendency to lower politeness).

Gender diversity is the most dominant metric explaining data variance and has a positive effect on team sentiment (it has a tendency to increase sentiment).

Zheng et al. [41] detected Salient feature regions (SFR) in structural information, like vessels based on a saliency metric including adaptive variance and gradient field entropy.

Our model showed that country diversity was the most dominant metric explaining data variance and had a negative effect on team politeness (tended to lower politeness).

Our model showed that gender diversity was the most dominant metric explaining data variance and had a positive effect on team sentiment (it had a tendency to increase politeness).

The model showed that gender diversity was the most dominant metric explaining data variance and had a negative effect on productivity (tendency to lower issue fixing time, Table 2).

Thirdly, we studied the influence of nationality and gender diversity on sentiment and found that gender diversity is the most dominant metric explaining data variance with a positive effect on team sentiment (it has a tendency to increase sentiment).