Sentence examples for tests based on different from inspiring English sources

While analysts griped that there were still big gaps in the information available about bank risks, there was enough data that many were already running their own stress tests based on different assumptions.

To analyze the efficiency of this method, this paper presents the comparison tests based on different sensors array, FBG and acoustic emission (AE).

To get a reliable result, it is persuasive to combine multiple tests based on different assumptions for the dataset, and only the outliers supported by multiple tests are considered as reliable candidates (Simonson et al., 2010; Zhao et al., 2013).

Several tests based on different principles are often necessary because NPs may sometimes interact with the test principle [ 15, 16].

Our results also suggest that a practical approach to detect loci under selection is to simultaneously apply multiple neutrality tests based on different assumptions and estimations.

Our microsatellite data from northern Eurasian cattle populations empirically indicate a practical approach for identifying the best candidate loci under hitchhiking selection by simultaneously applying multiple neutrality tests based on different assumptions and parameter estimations.

We tested for differences in the number of fruits that were initiated between different pollination treatments by using two-sample t-tests based on different proportions of pollinations that initiated fruit (e.g. Lipow et al. 1999).

In the univariate analysis, the mean TE was compared using Wilcoxon's rank-sum test based on different features of the studies.

Further studies can improve the practical utility of the results through another randomized controlled trial test based on different LEV doses.

A sample testing reactive by the first test (SD BIOLINE HIV 1/2 ), underwent a second (PAREEKSHAK TRILINE HIV ½) and a third (PAREEKSHAK TRISPOT HIV 1/2 ) test based on different principles or different antigen systems.

To investigate this effect, we generated power curves, using Equation 1, for the F-test based on different significance levels and sample sizes (here we assume a balanced number of samples in each group, i.e. n =  m).