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To determine the significance of effects, the analysis of variance with 99.9% confidence limits was used.
To determine the significance of effects, the analysis of variance with 95% confidence limits was used.
In effect, the analysis for streamlined dies can be modeled without the surface of velocity discontinuity power terms.
When investigating potential treatment effects, the analysis is limited to the randomised sample.
With regard to the repeated measures effect, the analysis suggests a value at AR1 diagonal of 49.9 % as the variance for measurement points (cf.; Heck et al. 2010).
In effect, the analysis of modulated data tests for regional differences in the absolute amount (volume) of grey matter.
In order to ascertain any potential minor effect, the analysis was repeated using a ≥1 PMR cut-off (Table 5).
In effect, the analysis summarizes the gene weights and offers a rich description of the models.
As such an analysis includes estimation of both fixed (mean values) and random (variance) effects, the analysis technique is known as mixed effects analysis.
The matrix effect was determined for all complex matrices, demonstrating low effect during the analysis.
This method eliminates texture effects in the analysis of crystallinity.
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