Sentence examples for robust rankings from inspiring English sources

We use a resampling strategy that exploits finite sample variability to provide robust rankings for pathways and genes.

This could result in less robust rankings of the nearest neighbor search results, and therefore a slightly lower recall rate is reasonable.

To integrate the three sets of rankings, we employed a robust rank aggregation (RRA) method, which is implemented in the R package called RobustRankAggreg (31).

It is shown that the null distribution of the test statistic is distribution-free, and statistical inference is reasonably robust against possible ranking errors in ranking process.

The novelty of the whole methodology consists of a joint consideration of hierarchical assessments of alternatives performances on interacting criteria, imprecise criteria weights, and robust analysis of ranking recommendations resulting from ELECTRE III.

The "mean plus/minus two standard deviations (μ + 2σ)" GSA-NSI metric GSA-NSIμ±2σ GSA-NSIμ±2σrom ANN RSM statistics is the best anderivedrobust design input ranking measure since it incorporates both the mean sensitivity and the variability ofromnsitivity ANNoss the pRSMlem domain.

To explore the sensitivity of our results to the threat weighting values (Table 1), we performed the analysis with the range of weighting values provided by experts (n = 24) and found that the rankings were robust to these variations (Spearman's rank correlations >0.99, p<0.001).

Nor do they acknowledge that, despite the robust G.D.P., Russia's rankings on such essential global economic issues as competitiveness and labor efficiency are appallingly low.

Proportional rankings were robust to the inclusion/exclusion of composite metrics – removing each component metric one at a time and recalculating the proportional rank maintained the general characteristics of the ranking (Kendall's τ = ranged from 0.799 to 0.877 between the original and modified ranks; Table 3).

The predicted rankings are robust against moderate changes of δ e.

In conclusion, overexpression rankings provide robust lists of differentially expressed genes which are relatively independent of the scoring method used thus allowing the quantitative analysis in terms of the obtained rank and expression level.