In this paper, we study the estimation of p-values for robust tests for the linear regression model.
Even for the zebrafish (Danio rerio), however, one of the most widely used laboratory models, surprisingly little is known about the normal variability in measures of reproductive success and this information is crucial for robust test design.
As OCT is increasingly translated to end-users, there is a growing requirement for robust test and characterization methods, suitable for deployment with commercial instruments and use by non-experts users.
Both site models did not indicate positive selection within Mysticeti, but only four mysticete sequences were sampled here, and this is well below the recommended number for robust tests of positive selection using models M2a and M8 [ 38].
Our study serves as a proof-of-principle, showing how empirical comparisons can be used as the basis for robust tests of selection based on allele frequency skews once many human genomes are sequenced (44, 45).
Given that the assumptions of Peto's paradox are not supported by strong evidence, our review suggests alternative ways for a more robust testing of the correlation (or rather lack of it) between body size and cancer risk.
"So in order for people to be sure when they fit certain measures that they will pay for themselves, we need robust testing and monitoring - the sort of thing that will be done at the University of Salford".
For the robust test, power values in the range from 84.6% to 90.5% were obtained.
We agree that this experimental design does not allow for a robust test of the hypothesis that functional types may differ in their response to moisture gradients.
