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Quality control was performed using the distribution analysis, correlation and principle variance components analysis functions in Jmp Genomics (SAS Institute).
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The Sobol method (Sobol 1993, 2001) is a variance-based method that performs a quantitative analysis of model sensitivity based on the principle of variance decomposition.
This paper develops a heuristic methodology for designing precise sensor/measurement networks for linear material flow circuits based on the general principle of variance reduction through data reconciliation.
However, as would be expected based on statistical principles (the variance of a sample mean is proportional to the distribution's standard deviation), individual subjects were less accurate in estimating the mean under the large variance condition.
Given that π (= x/100) and using the Pareto principle, the variances of the large and small SNP effects are, respectively: (1) σ 1 2 = (1 - π ) V g π M σ 2 2 = π V g (1 - π ) M where M is the number of SNP, such that M (π σ 1 2 + (1 - π ) σ 2 2 ) = V g.
The third method uses the principle that the variance of the variance in allele lengths is expected to be larger in a constant-sized than in a growing population, assuming that the loci follow an SMM.
According to recent studies [15, 18, 21], the two-thirds power law is considered as a consequence of optimality principles that generate human motion, and in particular of the minimum variance principle.
According to this principle, the full variance of the model output is given by the sum of the variances of all input factors (Saltelli et al. 2008).
Interestingly this is the same concept of the minimum variance principle.
As for the jerk, this is believed to be a byproduct of the same minimum variance principle [15, 18, 21].
These situations are analyzed by application of the principle of least variance in conjunction with the R-integrals.
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