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These curves were generated using one of the combinations of parameter values from Lampinen's study, namely a true d′ of 1.5 and equal variance distributions.
When we used variance priors informed by frequentist approximate variance distributions, this statistical significance was recovered.
Further, approxi-mating the heterogeneity variance distributions as suggested above, may be work intensive.
The remaining comparisons were selective excluded due to the posterior variance distributions being more similar across the five heterogeneous variance approaches.
It is one of the few tools that come with statistical analysis of the tree, such as calculation of subtype diversity ratio and subtype diversity variance distributions.
According to the DIC, the informed variances model based on the frequentist approximate variance distributions yielded the best model fit (Table 3).
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Jackknife residuals were normally distributed and the analysis of the homoscedasticity showed a homogeneous variance distribution.
Bars show the variance distribution across 40 inter-SLE periods.
Data were analyzed by SAS PROC UNIVARIATE to test their normality and equal variance distribution.
The signal-dependent variance distribution in the AB1700 data is a non-trivial function of signal intensity, describable using a composite function.
Based on the statistical properties, we have derived a signal variance distribution model for AB1700 data that is necessary for such development.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com