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For reasons mentioned above, inference procedures for ρ are closely related to the more general statistical problem of variance components [ 14, 18].
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In routine examinations the problems of variance in assessing endoscopic findings might be reduced by systematic image documentation of gastrointestinal endoscopies as recommended by ESGE [ 22] (fig 3).
The principal component (PC) approach has also been investigated as a possible solution to deal with the problems of variance component estimation for the international genetic evaluation of dairy bulls.
And finally, there is the famous problem of "translation variance" or "framework dependence" of judgements of likeness and of truthlikeness.
The design problem of state variance constrained control for stochastic systems has received rather extensive attention in recent years.
To overcome the problem of skewed variance, the DNA methylation data were arcsine transformed.
The approach of Janes et al leads to the PLRS regression model with only ten data points in 200-dimensional space, which for leave-one-out cross-validation (LOOCV) may in some instances lead to the problem of high variance.
The objectives of this study were to investigate how frequently and how seriously the problem of heterogeneous variances appears across locations in multi-location trials, and to evaluate the impact of the analytical procedure with different considerations about error variations when comparing genotype effects.
In order to avoid the problem of heterogeneous variances, we applied this ANOVA to small and large populations separately.
However, these non-parametric counterparts are not an immediate solution to the problem of unequal variances (heteroscedasticity), as was shown before [ 13- 15].
A common problem in analysis of variance is testing for heterogeneity of different subsets of the full set of k population means.
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