Sentence examples for augmenting the variance from inspiring English sources

Augmenting the variance around each unisexual mean reversed the sex ratios from those yielded by constant temperatures (Fig. 2).

This is because the traits (e.g. life-history bottlenecks) that act to align the fitness interests of particles (e.g. cells) in a collective can also act to diminish the extent to which those particles are bearers of heritable fitness variance, while augmenting the extent to which collectives of such particles (e.g. multicellular organisms) are bearers of heritable fitness variance.

The empirical Bayes method was used to shrink the gene-wise sample variances towards common values, thus augmenting the degrees of freedom for the individual variances.

In the multiple regression the coefficients of the status scores at 6 y and at 2 y coefficients are respectively 0.31 (SE 0.09, P<0.001) and −0.14 (SE 0.08, P = 0.048), with an increased explained variance of 3% by augmenting the model with the preceding BMI SDS.

Augmenting the TPB constructs with the PWM construct of willingness significantly explained up to an additional 8percentt of the variance in drowsy driving intention.

A moderated t statistic was computed using an empirical Bayes method to shrink the probe-wise sample variances towards a common value and to augment the degrees of freedom for individual variances [ 40].

P-values for each method were calculated by the moderated F-statistic which stabilizes the gene-specific variance using an empirical Bayes method to shrink the probe-wise sample variances toward a common value and to augment the degrees of freedom for the individual variances [ 35].

The basis of the variance reduction strategy is to appropriately augment the governing system equations and then weakly replace the stochastic forcing function (which is typically a filtered white noise process) through a set of variance-reduced functions.

In other words, ViVA augments the database variables with useful related measures of variance.

Additionally, the asymmetric power GARCH (APGARCH) model developed by Ding et al. (1983) further augments the model with power transformations without simple squared shocks and conditional variances as in the traditional GARCH models.

In Table 3, we augmented the unadjusted model with a set of covariates which diminished the random-effect variance estimates compared with the unadjusted model, particularly the baseline variance (intercept random effect).