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An effect size was randomly generated from a normal distribution having one of the variances under study.
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We repeated the process, this time using a second variance under study.
In this note we address the problem of determining selection probabilities for multipurpose surveys, when the aim is the simultaneous minimization of variances for each variable under study.
The Welch's Student-t test was used when the Levene test revealed heterocedasticity of variances for the groups under study (p < 0.05).
The DID analysis itself assumes that there has been not much time variance in the subjects under study which is not true (Angrist and Pischke 2009).
When multiple probes mapped to the same GeneID, we used the probe with the highest variance in the dataset under study.
Calprotectin levels distributed normally in the groups under study, but variances were not homogeneous.
This procedure amounts to taking the arithmetic mean of the sample variances for individual sites as a pertinent estimator of the population variance of the technical noise under study.
Recall that the background variance (i.e., the variance not due to the marker under study, the environmental measure under study, or their interaction) was simulated to consist of 30% additive polygenic genetic effects (σs2) and 70% environmental effects not-shared by the siblings (σu2).
Relatedness according to a community phylogeny of the plant species under study explained little variance in most measured traits.
The experimental levels of intensity, spatial extent and temporal variance of disturbance were realistic for the system under study [56].
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