Sentence examples for stronger shrinkage from inspiring English sources

We attribute this difference mainly to the stronger shrinkage in the second than the first genotype component.

Stronger shrinkage was observed only at concentration levels of 80 and 120 mg mL−1, corresponding to a polymer-to-BC mass ratio of ≥7.9, with the highest value observed for PMMA120 (23.7%, Fig. 1).

Second, the CE-phase leads to strong shrinkage of the orbit, but not enough for the inner stars to merge.

Strong shrinkage of the clay minerals, with very low strength in the temperature range (600°C to 900°C) is also reported, a phenomenon very much similar to field observation.

Lastly, the CE-phase does not lead to a strong shrinkage of the inner orbit, as for the γ-model of CE-evolution with (gamma=1.75 ) (Eq. (17), Section 2.2.5).

When culture temperature was lower than the LCST, cultured cells detached from the surfaces with strong shrinkage along the pattern direction, and sometimes folded and became parallel with the stripe pattern.

The CV choice of the parameter that controls the amount of shrinkage of the regression coefficients resulted in a large parameter being chosen, implying strong shrinkage.

The question arises why G-BLUP was mostly as good as BayesB and superior to P-BLUP despite the underlying prior assumptions for SNP effects, causing strong shrinkage.

The SNP ASEs estimated by GBLUP and BayesCπ had a Spearman correlation of 0.85, but had a Pearson correlation of only 0.56 due to the strong shrinkage of large effect SNPs in GBLUP (due to the assumption that all SNPs are drawn from a distribution with a common variance) and the strong shrinkage of small effect SNPs in BayesCπ.

However, when there is a large pool of correlated candidate variables, LASSO regression tends to select conservative models by including unrelated predictors and impose a strong shrinkage towards zero on estimated regression coefficients.

Finally, effects of discarded markers as estimated from multiple imputes ((MI); see Association analyses) tended to show excessively strong shrinkage in comparison with (AD) estimates, with little adjustment of estimates in response to imputation uncertainty (Table S4, Figure S3).