Sentence examples for compensating for the variance from inspiring English sources
This shrinkage of coefficients prevents overfitting by compensating for the variance inflation that occurs due to multicollinearity.
During this period, all devices first listen for 1 s to compensate for the variance in synchronization (guard time).
The test was applied to normalized data to compensate for the variance of measurements between biologically independent replicates of the same experiments.
Because all tests are performed on one node we do not have to compensate for the synchronization variance.
At variance with these findings, neutrophils and, particularly, mononuclear cells increased throughout the entire duration of allergen exposure, numerically compensating for the decrease of eosinophils and, hence, maintaining the overall degree of inflammation (Figure 4F).
To compensate for this variance, a control-oriented PEM fuel cell model that is capable of capturing localized differences in operating conditions in real time is needed.
After considering these differences, we observe in Figure 4 that the averaged variance model decreases quite linearly with the SNR conditions of test utterances to compensate for the mismatch between the input feature variance and the variance models.
The boost in Ne over multiple generations was in part due to the increase in N which compensated for the effects of the enlarged variance in the genetic contributions between individuals in the whole population that arose from initial supplementation (Wang and Ryman 2001).
As can be seen from the P-values of association (current study P = 4.97 × 10−37, Reed et al. P = 1.8 × 10−15), this boost in explained variance more than compensated for the reduced panel size.
The proposed test may handle them if a K-arm trial is analysed as K K-1)/2 independent two-arm trials, with variances adjusted to compensate for the correlation between the corresponding estimates [ 48].
The Hv-score includes the row variance of the bicluster in the denominator which compensates for the bias inherent in the mean squared residue (equation 1).
