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In the BayesC analyses, the data overwhelmed the parameter starting values resulting in rapid convergence of the posterior means for variance components.
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Relationships between mean, variance, and skewness were investigated for the 1,001 organisms with dispersion >1 for which nonzero means and variance were obtained for >3 half-years.
A higher ICC at the department level for instance means a smaller variance for preventable AE rates within the departments and a larger variance between departments.
Having 3 groups (Low, Medium, and High performing groups), ANOVA is used to compare means of variance for the variable and # of accesses.
Posterior means of genetic variances for each trait and for each breed and of the correlation between breeds were computed.
Responsiveness is usually indexed by a mean difference adjusted for variance (for example, Cohen's d or the standardised response mean [ 5]).
The mean intrasession mean variance and mean intersession mean variance for real and artificial eyes is reported in Table 1 for wavefront aberrometry data and Table 2 for corneal elevation topography data.
An essential component of RPD involves the assumption of well estimated models for the process mean and variance.
First, for each measure means, variances, and the effects of sex and age on the means were estimated.
As above (and described fully in Methods), each of the 9000 points in parameter space was associated with a Monte Carlo estimate of the sampling distributions for mean and variance for samples of size 17.
where is the data mean and is its scale, for variance.
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