Sentence examples for variance environments from inspiring English sources

We first derive the optimum Bayesian decision feedback equaliser and present a novel analytical framework for the evaluation of systems in infinite variance environments.

One way to account for heterogeneous residual variance over environments is to divide the environment into classes and to assume homogeneous variance within each environmental class, but with different residual variances across classes [ 1].

Heritability (a) was estimated from tetrachoric correlations using mx software to fit a biometric model to the data including terms for additive genetic variance, shared environment and nonshared environment (Neale et al. 1999).

The combined analysis of variance over environments explained that fluted pumpkin marketable leaf yield was significantly (p < 0.001) affected by environments, genotypes and GEI.

Changes in the levels of genetic variance across environments have usually been attributed to novel gene expression in the new or stressful environment, or due to a historical absence of stabilizing selection on genetic polymorphisms when expressed at the novel environmental condition [ 38, 42].

Ureide values were log-transformed to equalize variance among environments.

The variance across environments reflects the stability of a QTL, in which a larger variance indicates a lower stability of the QTL.

The mean-scaled method is especially suitable for measuring evolvability (defined as the predicted ability of a population to respond to selection) in comparisons of additive genetic variance across environments (Hansen et al. 2011).

The dimensionality of environmental data was reduced using PCA (prcomp in R), and the PCs that captured 95% of the variance in environments among populations were used for analysis in BAYENV (supplementary table S3, Supplementary Material online).

Extending WGP models for complex human traits to explicitly model heterogeneous residual variances across environments could potentially help account for still-unexplained variance, and thus affect the extent of missing heritability in human populations.

For total problems, an ACE model was the most parsimonious with genetic factors explaining 26%95%5% CI 13%to39%9%) of the variance, common environment explaining 61%95%5% CI 49%to70%0%) of the variance and non-shared environment explaining 13%95%5% CI 10%to17%7%) of the variance.