Sentence examples for criterion of robustness from inspiring English sources

Thus, when the evidence is discordant the criterion of robustness fails to provide a solution to the problem of data reliability.

An analytical criterion of robustness is proposed: the lowest coefficient of determination (CD1) of a comparison between animals included in the evaluation.

4. The approach follows the selection criterion of robustness, i.e. technical noise in measured mRNA concentrations caused by the microarray technology does not alter inferred regulatory interactions.

On each set, we note that the estimated rates are within the interval [2,5 %−7,5 %] and satisfies thus Bradley's liberal criterion of robustness for the significance level α=5%% [ 40].

We observe that, irrespective of the original trait distribution and whether or not a data transformation preceded MB-MDR analysis, the estimated rates satisfy Bradley's [ 34] liberal criterion of robustness for the significance level α=0.05.

As is mentioned above, the goal is the health degree of taxi industry, with the macro-criteria of robustness, productivity and sustainability.

This paper will discuss strategic approaches taken to increase the level of resiliency for health infrastructure, with focus on the criteria of robustness, redundancy and rapidity.

True genes may also be excluded from the annotation by over-conservative criteria of robustness of prediction across methods or of evolutionary conservation.

Several criteria of model robustness have been presented in the chapter, particularly emphasizing on the external predictive power of the model.

Recently, more and more experimental studies indicate that a mature active control design toward practical implementation requires consideration of robustness criteria in the design process, which includes the performance robustness in reducing tracking error and in resistance to external disturbance and measurement noise, and the stability robustness with respect to system uncertainty.

We refer to Bradley [ 14] for a general discussion of robustness criteria.