Sentence examples for variance and variance from inspiring English sources

Second, to estimate variance components available by decomposing the total variance in mathematics performance into variance attribute to students (within school variance) and variance attribute to schools (between school variance).

Multilevel analysis makes it possible to partition the total variance in each dimension score into variance across individual respondents (individual level variance), variance across wards (ward level variance) and variance across departments (department level variance).

In the present study we sequenced cDNA prepared from the same mRNA samples used in the microarray study, controlling for both biological variance and variance in mRNA isolation simultaneously.

Mathematically, standard deviation is equal to the square root of variance; and variance is equal to the sum of the squares of difference from the mean, divided by the number of degrees of freedom.

Variance and variance components were estimated by robust ANOVA using the software Roban (downloaded from http://www.samplersguide.com/sampling%20quality%20control.htm) according to recommendations in the Eurachem/EUROLAB/CITAC/Nordtest/AMC guide (Ramsey and Ellison 2007), where the variance components were estimated using a multilevel approach (see Appendix D of Ramsey and Ellison 2007).

The same linear regression model, in which in both, step 1 and step 2, G can be viewed as a design matrix for random effects of the genotypes, was applied to estimate the variance components, including genotypic variance, genotype × environment interaction variance and variance of effective error across both segregating populations (Table  1).

It has been observed that the signal variance and variances of details depend on the intensity of processes.

Variances and variance ratios were considered significant when 0.98 times their standard error did not include zero (one-tailed test).

In addition, group differences can be modelled, through differences in means, variances and variance components, and through differences in the way symptoms relate to the latent trait.

Variances and variance ratios were obtained from bi-variate REML analysis for which each phenotypic trait was analysed in conjunction with its assigned GEBV.

In addition the Bayesian method provides an exact measure of error for variances and variance ratios, whereas convolute approximations are needed in the classical mixed model method.