Sentence examples for average effects and from inspiring English sources

A simulation example shows that the statistical properties also in this case are much better than predicted by average variance analysis if Δ< 0. For this simple example, it is hence possible to monitor the quality of the estimate by studying the sign of Δ. Traditional variance analysis only considers the average effects and hence misses this two mode (good or bad) situation.

It was also verified the effect size of the differences between groups, through d Cohen (1988), wherein values up to.40 are considered minor effects, from.50 to.70 considered average effects, and as from.80 strong effects.

An appropriate deregressing method, that removes parent average effects and which accounts for heterogeneous variance [ 18] was used to calculate DEBV from the EBV and their reliabilities of genotyped bulls and their sires and dams.

The deregressed proofs (dEBV), as well as their associated reliabilities, were obtained according to the procedure proposed by [ 18], which removed parent average effects and also accounted for heterogeneous variances [ 9].

In addition RCTs tend to report average effects and not differential effects of interventions, and less so of the context and rarely of the mechanisms triggered by their interactions.

This method results in DEBV that are free of parent average effects and the weights can be used to appropriately account for heterogeneous variance due to differences in reliabilities of individual and parent average EBV and therefore of corresponding DEBV.

Whenever between-group selection prevails against within-group selection (however rarely or implausibly) the altruistic gene has the highest average effect and evolves in the total population.

There is even a concept called illusory superiority, also known as above average effect -- and this positive illusion is hurting our ability to recognize blind spots and reach success.

FMRI data observed under a given experimental condition may be decomposed into two parts: the average effect and the deviation of single replications from this average effect.

For example, the initial positive score process associated with hormone receptors, suggests that the effect of this variable is initially higher than the average effect, and thus lower than the average effect afterwards.

The larger the variation within-condition, the coarser the average effect and the more relevant is the impact of deviations from it.