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The mean, μ, and variance are expected to be equal when sampling from a Poisson distribution, i.e., Var y) = μ.
A higher (i.e. more detrimental) mean effect or a higher variance are expected to be related, and both would indicate reduced robustness [ 18, 19].
We investigated the variance of the informative genes as genes with large variance are expected to produce more robust results and did note a significant shift to larger variance for genes with AUC values >0.7.
For some traits, the largest component of genetic variance is linear (additive) [ 1], but even in this case nonlinear interactions accounting for some smaller component of variance are expected to be present.
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In other words, the decrease in stratum variance is expected to saturate through the iterations.
The injected observation noise governs how much variance is expected in the measurement: higher values mean we expect more variance and hence trust our measurement less.
They pointed out that the variance is expected to equal 1.0 under the neutral model of gene expression.
In sum, the results of Study 3 underline the importance of choosing phenotypic measurement instruments that resolve individual differences specifically in the part of the study population, where the genotypic variance is expected to be largest.
Likewise, the estimated residual variance is expected to reflect the typical level of within-family variation.
Second, greater phenotypic variance is expected under selection with assortative mating [ 62].
In the presence of linkage in repulsion phase, additive variance is expected to be underestimated whereas dominance variance is overestimated.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com