Sentence examples for symmetrical measures from inspiring English sources

The following analyses were performed: correlation matrix among all the study variables; global or symmetrical measures of association (McNemar test for categorical data, Pearson's chi-square, and Fisher's exact test); directional measures of association (F test ANOVA and Tukey's comparisons or Tamhane's comparisons).

Studies using graph theory analysis of functional brain networks have mainly used symmetrical measures of statistical association or functional connectivity between pairs of brain regions or sensors (e.g., [12] [13]).

Controlling for sites known to be polymorphic in humans prior to aligning the simulated reads produced symmetrical measures of relative ASE, showing that the differentiating sites themselves caused this bias.

Entropy reduction by conditioning can be accounted if we consider a measure called the mutual information, I Y,X) which is a symmetrical measure (i.e. I Y, X) = I X, Y)) that is written as: I ( Y, X ) = H ( Y ) − H ( Y | X ) or I ( X, Y ) = H X X ) − H X X | Y ) (7).

Since MI is a symmetrical measure, it cannot detect directional flow of information and causal relationships.

Threefold astigmatism (antisymmetrical; top) and fourfold astigmatism (symmetrical; bottom) measured in per-Fourier-pixel average phase-error plots (left) and represented by our parametric model (right) for CTE type I tau filaments from case 1.

The paper presents the model of progressive failure analysis of laminates incorporated into the 6-field non-linear shell theory with non-symmetrical strain measures of Cosserat type.

Symmetrical similar measure of the four directions 0, 1, 2, and 3 are calculated by Eq. (6), whereas that of the remaining four directions 4, 5, 6, and 7 are calculated by Eq. (7).

Check that your new seams will be symmetrical by measuring from the inseam to the newly-marked edge at a few corresponding points down each leg.

As drugs may bind to multiple targets to elicit their effects (Kuhn et al., 2013), we designed a novel non-symmetrical similarity measure based on the well-known SimGIC measure (Pesquita et al., 2009).

This result is more comprehensible for the symmetrical uncertainty relevance measure, and stands in the fact that epilepsy is directly related with low frequency components [5]. Figure 6 Relevance maps.