Results suggest that these four traits may be under the control of one major gene or a small number of genes, explaining an important variance of these traits.
Therefore, in classes of older children variance between observations is guaranteed, while in the case of younger children an important variance is also guaranteed due to the fact that the age range within a class, although small, is strong enough to mean that the intra-class correlation is not very large.
Hypothesis 2: the cause for important variance is a scale effect because the model efficiency works with a border effect.
An analysis of covariance model is developed which combines a fixed-effects linear model for the bioassay with important variance components associated with DNA array measurements.
Here the threefold groups of dimensions in Figure 2 are seen as independent variables, having a substantial influence on the REF competence (seen here as dependent variable) respectively explaining important variance parts of it.
However, there are some important variance components in molecular dating that have been overlooked, and the specific nature of ancestral (maternal) Austronesian influence in this region remains unresolved.
The first step allows the user to carry out a decomposition of the variance, by identifying the factors contributing much to the variance, keeping them into the model and discarding the other, less important, variance components.
This is not to undermine those who would argue that the SRQ-20 is useful for screening in humanitarian response efforts; indeed, our findings suggest that it is, insofar as it is associated with important variance in Afghan emotional distress.
We did not covary BMI in this study based on the argument that this may contribute important variance to the effects of cognitive processing in ED patients (see 4).
So the practically important variance-covariance matrix, as a consistent accuracy measure of the parameter estimate, is provided by the developed error analysis.
The most important variance-reducing techniques are stratified sampling, importance sampling, globally adaptive subdivision, and quasi-random sequences.
