Sentence examples for variance in the initial from inspiring English sources

The accumulated excess variance in the initial principal neurons, above the background noise level, was similar to the average POM.

Similarly, since there was almost no variance in the initial visual percepts prior to haptic feedback of the flat surfaces (Fig. 3g) and the non-concave surfaces with plaid textures (Fig. 3h), haptic feedback had little effect.

However, severe heterogeneity of variance in the initial linear regression models required the application of a generalised least squares extension to determine appropriate variance-covariate terms and meet the assumptions of homogeneity of variance [[42], [44], see Text S3].

Indeed, the accumulated excess variance in the initial principal neurons (Figure 8) was comparable to the average POM indicated in Figure 5, and small compared with the accumulated variance of the background noise level.

Although evaluating an extensive list of potential risk factors for MRSA clinical infection had some advantages, the extensive list also increased variance in the initial multivariate model.

However, we feel that a more relevant measure of power is the proportion of the genetic variance in the initial population that is explained by the detected QTL.

The genetic trait values of an offspring were drawn at random from normal distributions with mean values given by the mid-parental genetic trait values and variances that equaled half the corresponding genetic variances in the initial population.

Figure 5 shows the dynamics of these genetic variance components in the simulated populations selected for increased phenotypes, illustrating how interaction (epistatic) variance present in the initial population is progressively turned into additive variance.

Large amounts of genetic variance available in the initial wild population leads to fast evolutionary response, introducing the time dependency of evolutionary rates, discussed above.

Fidelity remains above 92% for (Nsimeq80), a result that appears to be only very weakly affected by an increase in the variance of the initial Gaussian distribution.

In contrast, the excess variance of the initial principal neurons above the background level reflects correlated activity among the different neurons and can be attributed mainly to rate-modulations by common modulating signals.