Sentence examples for enabling significance from inspiring English sources

This probability can be calculated for the QTL as a whole, that is, for all founders together, and also for individual founders, enabling "significance" of QTL effects both at the overall and at the founder level to be reported.

Means squares are computed for each hierarchy of data, enabling significance testing between the following: 1) individual P. marneffei genotypes within hosts; 2) genotypes distributed between hosts (humans and bamboo rats); and 3) genotypes distributed between region (China and Thailand).

By another classical result (Wilks1938) the asymptotic distribution of FY→X under the null hypothesis is χ2 with number of degrees of freedom equal to the difference in the number of parameters between the full and reduced models; this enables significance testing of Granger causalityd.

SampleNetwork also enables significance testing of sample covariates with respect to sample metrics, and data normalization.

CPBA not only provides a sparse parametrization of a general similarity matrix, but it also identifies hub nodes and clusters and enables significance tests for excess edges (between nodes) and shared similarities (between clusters).

We pre-specified a low significance level of p = 0.05 as a cut-off in eliminating variables in turn as the dataset contained a large number of individuals enabling statistical significance to be more easily achieved.

An additional unrest level is thought to enable the significance of the activity to be a more effectively communicated, and help emergency managers to undertake decision-making, preparations, and evacuations (if necessary) before an eruption occurs.

The addition of more measures may furthermore enable statistical significance to be achieved on the correlations with now-removed measures such as Citation Half-Life and the Usage Impact Factor, so that they could be included on the generated PCA map of measures.

This was modified to enable the significance of overlaps between more than two time series to be assessed.

We examine relationship among C α, a test-retest correlation and reliability of scale scores that enables testing significance of C α through Fisher z-transformation.

It is shown that C α is the same as a test-retest correlation of the scale scores of parallel items, which enables testing significance of C α. Closed-form power functions and samples size determination formulas are derived in terms of C α, for all of the aforementioned comparisons.