Sentence examples for variance again from inspiring English sources

With SCImago "cites/doc" as the definition of journal quality, editorial leadership explained almost 50% of the variance; again, the possible confounding factors had a small effect and together increased R2 by 13.8%.

At age 30 32, shared environmental influences accounted for 12% of the variance again.

Clustering by individual according to the first ten PCs of all of the CpG sites, explaining 80%% of their variance, again led to adjacency of all three time points for 11 of the individuals (Fig.  1b, Methylome).

Briefly, we drew 100,000 multivariate random normal (MVN) values of S, P, and G, using the maximum-likelihood estimates of these parameters (from ASReml) as the mean and the variance covariance matrices of these parameter estimates as the variance (again these are given in ASReml).

For the sensitivity analysis to noise, we add a certain proportion (p) of random Gaussian noise to the gene expression data for both transcription factors and their target genes, run causal orientation methods in the noisy data, report their performance, and repeat the entire process to assess variance (again, 100 times for NOTCH1 and RELA and 20 times for YEAST and ECOLI).

The calculations of the chi-squared test statistic, T say, can be broken down in a manner which aids later discussion as follows, where N is the total sample size and A and a the two alleles at the locus: Here, U is a test 'score' which, under the 'null' hypothesis of no association, has expected value zero; V is its variance, again under the null hypothesis.

F-tests comparing RMSE variances again confirm belief learning is statistically significant lower than Q-learning for all study areas at 99% confidence.

The variance was again at about 2%, within the statistical margin of error.

Similarly, the angular parameters are drawn from a wrapped Gaussian distribution [37] (in the wrapped Gaussian distribution, all realisations are mapped to their principal value in ), where the mean and variance are again determined in the cluster parameters (Table 1).

In this context, the R-squared presented in Table 4 indicates that task heterogeneity accounts for approximately 9% of the cross-occupation wage variance, which again indicates the usefulness of a task approach in explaining wage differences.

The variance is again decomposed into that which is shared and that which is unique.