Sentence examples for weak criteria from inspiring English sources

If their proposal has weak criteria and large loopholes, it will be impossible for civil society to embrace what can and should be a climate victory for the German government.

This is why in Figure 5 we show all the outliers satisfying relatively weak criteria.

For that reason, we wanted to conserve as many effects on gene expression as possible and set weak criteria for up-regulation: if the highest fold-change (i.e., the difference of log2 values) between two arbitrary time points was larger than 1, then the time profile was discretised to 0 or 1 by k-means clustering (100 iterations, vote of 25 restarts).

Defining employment as having a positive income in a year is a weak criterion because some individuals with a positive income may only work for a small part of the year or may be part-time unemployed.

However, with regard to the relatively large number of free parameters in a rainfall-runoff model, a single measure of performance is a weak criterion to assess and declare (or refuse) modeling success against the background of omnipresent equifinality (Beven, [2001]).

It was hypothesised that the MASQ would show marginal to weak criterion validity in the present sample.

The criterion of 'requiring at least one more night of hospitalisation' may be considered by some to be a weak criterion.

However, correlation coefficient is a weak criterion for measuring dependence and can lead to many false positives in predicting TF targets [ 15].

When only the weak criterion is satisfied, the population may expand hundreds of generations before the deleterious load is expected to halt growth (Bull and Wilke 2008).

20 Altman considered that biological plausibility is a weak criterion when deciding whether a subgroup finding is likely to be real, since, according to him, physicians seem able to find a biologically plausible explanation for any finding.

To evaluate which model is the most promising one we consider the following three criteria: 1. Fit of the model to the data 2. Number of model parameters 3. Computational time for simulation (computational complexity, weak criterion) Each reversible deterministic model can be fitted to the data with a similar deviation from the measurements.