Sentence examples for each of the variance from inspiring English sources

The code in Box S3 of File S1, shows how to obtain samples of heritability from the samples collected before each of the variance components.

Following the standard assumption, we assigned scaled-inverse chi-squared densities to each of the variance parameters [6] p (y, g 1, …, g N k, σ ε 2, σ g 1 2,.., σ g N k 2 | H ) = N (y | ∑ k = 1 N k g k, I σ ε 2 ) χ − 2 (σ ε 2 | d f ε, S ε )     × ∏ k = 1 N k N (g k | 0, K k σ g k 2 ) χ − 2 (σ g k 2 | d f k, S k ), where H denotes all hyperparameters indexing the prior probability distributions.

Because the variances and covariances of the random effects were estimated with uncertainty in the bivariate models, for both of the models, we generated 10,000 realizations of each of the variances and covariances of the random effects from a multivariate normal distribution using the means, variances, and covariances of these estimates calculated by the bivariate random-effects models.

At each value of the variance of the UMVCUE and MLE were evaluated by simulation as before.

When analyzing each genotype independently, distance explained 63% 78% of the variance in each line (fig. 6; permutation performed as explained above, p<1.0e−5 in each case).

Seven other domains were identified but each contributed only 2-42-4% the variance.

In the model for life events, the A and E factors each influenced roughly half of the variance.

Each SNP explained ∼1% of the variance in serum bilirubin levels in this study of African Americans.

The HADS score and having continuous dizziness versus transient attacks each explained roughly 2% of the variance in suffering.

The Scree-test suggested 8 factors for behavioral measures (each explaining 8 to 15percentt of the variance, total 80percentt) and 5 factors for self-report measures (each explaining 15 to 30percentt of the variance, total 70percentt).

The permutational procedure was then used to provide significant tests for each of the hierarchical variance components based on the original distance matrices (used 1000 permutation).