Sentence examples for hypothesis of same distribution from inspiring English sources

e. no rejection of hypothesis of same distribution) was where we defined the AHP conductance and other transient intrinsic current generators no longer had a significant impact on the Vm and the passive diffusive spread had reach steady state.

Table 5 illustrates the test results, laid out to match the ordering of the platform pairings in Figure 2. At p < 0.05, we reject the null hypothesis of drawing from the same distribution for all CDF combinations except for Disjoint-Random on Affymetrix probeset/Codelink (c).

If D for the real dataset is exceeded by not more than 5% of the values of Drand, we can statistically conclude that there is sufficient evidence to reject the null hypothesis of the same species distribution in CONCEN and FORG.

This condition is met when the null hypothesis (both ensembles come from the same distribution) of a Mann-Whitney U-test cannot be rejected at 10% significance.

SWang can be used to detect DEGs based on the same distribution of null hypothesis which is transformed as <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0013721.e001.PNG" class= inline-graphic"/> in Pearson family distribution.

The null hypothesis of the samples being drawn from the same distribution was rejected with a p-value of 0.011 when a data set composed of 4 10 mm SL fish was used.

With a Mann–Whitney U hypothesis test assuming that the RSA of epitope and non-epitope residues are under the same distribution, the hypothesis is rejected (P-value: 0).

Bold font marks cases where the value of the Anderson-Darling statistic A 2 is smaller than the critical level A 0.05 2 = 2.492 (large-sample approximation) and the hypothesis of two datasets being sampled from the same distribution can not be rejected at a 5% significance level.

The Anderson-Darling test rejects the hypothesis of both time-series being sampled from the same distribution if the statistic A 2 is smaller than the critical level A 0.05 2 for a significance level of 0.05.

The fact that bagging's phoneme mixture components are all trained on samples from the same distribution of data and that it outperforms boosting is also in agreement with this hypothesis.

This tests the hypothesis that the two outputs have the same distribution without making any assumptions as to their shape.