Sentence examples for variance description from inspiring English sources

Exact(1)

The cross validation showed a minimum generalization error when using 7 PLS components (Figure 10), which together with a total variance description on the response variable of 91% led to the choice of 7 components in the model.

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Unfortunately, neither of these original growth studies presented the model variance, a detailed description of the data, or even any plots of the size at age data!

Y Y Y Y CD CD Y CD CD Y Y 5. Was a sample size justification, power description, or variance and effect estimates provided?

The most useful description of variance is confidence limits since these take into account the sample size.

Once we get beyond the great variance in terminology and description, we find that the five approaches have a lot in common and match more or less the "ideal" pattern we introduced.

6142 to 7142) for satellite Swarm Alpha, we find that the (L_1) solution in general gives a better description (mean variance ratio of (120cdot 10^{-6})) compared to the (L_2) solution ((400 cdot 10^{-6})).

Criteria for relevance also evaluated whether a description of variance was provided, whether dietary spiking was performed at appropriate concentrations (residues not exceeding 5 μmol/g) and/or whether BAF was calculated kinetically from the depuration rate constant, as appropriate for each type of study.

Finally, we have introduced a new multi-class method, HMF, which describes relevant sources of variance connected with groups' description by fusing individual binary models.

The Null Model Likelihood Ratio Test (SAS ver. 9.4; SAS Institute, Cary, NC) indicated that the Q-K model significantly (P ≤ 0.005) improved the description of variance between genotypes in all environments as compared to a model without adjustment for genetic relatedness.

Despite the paramount importance of microstructure to the field a rigorous systematic framework for the description of structural variance between samples of materials with the same processing history and between different materials classes has yet to be adopted.

PCA axis with higher eigenvalue gives the best description of the variance observed, in this study all 26 variables underwent MFA, 9 axis were selected to perform clustering because they accounted for 81% of total variability.

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