Exact(2)
This finding suggests that we should see considerable variance among our participants in their acquisition of metric survey knowledge, which in turn implies ample variance to support sizeable correlations with self-reported sense-of-direction.
As an example, we expect a cone with low phase variance to support few optical modes (simple wave pattern), and conversely one with a high phase variance to support many optical modes (complex wave pattern).
Similar(58)
While we expect these relationships to occur commonly in the data we do not expect all genes to be uniformly up-regulated in one population or down in the other and in the original paper there is a spread of variances to support this view.
As most characters have substantial phenotypic variation, this implies that additive genetic variance may often be sufficient to support adaptation to rapid environmental change.
White compression, by inherently reducing the greater noise variance of brighter pixels, appeared to support denoising algorithms in performing more effectively.
This understanding is somewhat at variance to traditional clinical practice, supported by current guidelines that recommend haemodynamic resuscitation follows a step-wise approach - initial fluid loading, followed by the use of an inotrope to improve cardiac output, followed by a vasopressor to squeeze the circulation to augment the perfusion pressure [ 7].
Furthermore, after controlling for demographic and personality variables, students' perceptions of social support contributed significance incremental variance to early adolescents' gratitude scores, with both parent and teacher support accounting for unique variance.
In the results (Table 3), we present only the influence of the three strongest factors (explaining the majority of variance) to each response variable [see Supporting Information for details].
The analysis of variance (ANOVA) support the high suitability of achieved equation for the efficient prediction of understudy adsorption system behavior that proofed by the presence of good agreement among the predicted and experimental data.
However, the presented criteria, in particular bias and variance, can support the choice of normalization method optimal for a specific data set.
The fact that the combined SNP effects fall short of explaining the complete phenotypic variance may support the hypothesis that the expression of a quantitative trait is caused by a large number of very small effects that escape detection.
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