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The expected variance is given by the lowest degree polynomial regression modelling log (σ2) as a function of log, and as a result, F* is not correlated with the mean expression level (Barroso et al. 2018).
The detection threshold is adapted depending on the expected variance of the power in noise-only intervals.
where v it ( m ) provides the expected variance of the individual's outcome given the outcome was truncated.
The necessary estimates of the expected variance in species richness across areas were derived from a prior project on biodiversity patterns in Austrian agricultural landscapes [36].
Let (nu:= lim_{trightarrowinfty} operatorname{var}(r{(t)}) = lim_{trightarrowinfty} langle s {t})^{2}rangle) denote the expected variance of r when it has reached a stationary distribution.
τ2 was a measure of the between study variance and was defined as 0 if the Q value was less than the expected variance (Number of studies -1).
Similar(11)
Such calculations rely on knowledge of the expected variances of the measurements of each group of samples and the magnitude of the treatment effect; the estimation of which is often uninformed and unreliable.
Towards this end, we set the expected variances to σ g =σ e =1 and simulated a single set of phenotypes.
In the first step, we determine the set of measurement times that maximize the expected variances in the trajectories (8) and collect the set of respective variance estimates in the sets.
We are concerned with the behaviour of the underlying "expected variance", which the measured datapoints can be envisaged as sampling.
Comparing this variance with the normally expected variance allows to identify locations where users are acting abnormally, and that such locations are, in case of emergencies, spatially clustered.
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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