Sentence examples for variance contributed by from inspiring English sources

Each component relates to a different form of gene action, with the additive component describing the variance associated with the independent contribution of alleles, dominance describing the variance contributed by interactions between alleles at the same locus, and epistasis referring to the contribution of interactions between alleles at different loci.

In addition to the arrows between variables in the model, there are arrows pointing toward each endogenous variable from points outside the model, indicating variance contributed by error and any unmeasured variables.

The modeling variance is approximately 0.77 times the variance contributed by the sampling process.

Together, these variables accounted for 21% of the variance with significant unique variance contributed by one of the cultural/attitudinal variables only; student religiosity (negatively).

Together, these variables accounted for 49% of the variance in student acceptance of evolution scores, with significant unique variance contributed by two of the attitudinal variables, parent attitude toward evolution (positively) and student religiosity (negatively).

The within-line cofponent of variance also includes a small amount of genetic variance contributed by segregating alleles.

It uses a periodic sampling approach and a Fourier transformation to decompose the variance of a model output into partial variances contributed by different model parameters.

Compared to simple random sampling, random balance design sampling generally provides higher estimation precision for partial variances contributed by the main effects of parameters.

Until now, the FAST analysis is mainly confined to the estimation of partial variances contributed by the main effects of model parameters, but does not allow for those contributed by specific interactions among parameters.

In this paper, we theoretically show that FAST analysis can be used to estimate partial variances contributed by both main effects and interaction effects of model parameters using different sampling approaches (i.e., traditional search-curve based sampling, simple random sampling and random balance design sampling).

The theoretical derivation of partial variances contributed by higher-order interactions and the calculation of their corresponding estimation errors in different sampling schemes can help us better understand the FAST method and provide a fundamental basis for FAST applications and further improvements.