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Hypothesis 2: the cause for important variance is a scale effect because the model efficiency works with a border effect.
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.
The most important variance components for the calibration factor CFdA, which used the average of the measured calibration source activity over the three time points, were the inter-calibration source (77%), intra-calibration source (14%), and background count rate components (9%).
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.
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.
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.
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The most important variance-reducing techniques are stratified sampling, importance sampling, globally adaptive subdivision, and quasi-random sequences.
So the practically important variance-covariance matrix, as a consistent accuracy measure of the parameter estimate, is provided by the developed error analysis.
In this context, strict inclusion criteria based on BDI or similar symptom assessments may eliminate important natural variance in the phenomena that are studied.
Clearly, being able to impose some common structure on the submatrices of Σ can yield a very parsimonious description of the dispersion structure for multi-trait, multi-environment problems, and this is important for variance component estimation.
In the present study, we used a new method to illustrate to what extent the GxE of n-3 PUFA contributed to the variations of T2D-related traits and to characterize the most important GxE variance contributor among these fatty acids at the genome level.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com