Sentence examples for substantially random from inspiring English sources

We can see that the optimal training scheme mentioned in Section 4 indeed attains the MSE bound and outperforms substantially random training sequences.

The order of invitation was substantially random, with some stratification by area (women were enrolled by general practitioners, who were selected with balance by location of practice).

As the order of invitations was substantially random, risks of cervical cancer among invited and uninvited women are expected to be comparable in the absence of screening.

Residual-redistribution yields revised estimates of annual series of Tahoe areal precipitation and watershed runoff, which are each shown to have substantially reduced random error variance.

However, for the 5 variants with moderate to very large between-study heterogeneity, the 95% confidence intervals expand substantially with random effects calculations and p-values do not satisfy criteria for genome-wide significance (p<10−7) based on these data alone.

Both V5/MT and MST preferred 3D flow over 2D planar motion, responded less yet substantially to random motion, had a strong preference for contralateral versus ipsilateral stimulation, and responded nearly equally to contralateral and to full-field stimuli.

DNA transposition-based strategies offer substantially more efficient random strategies and provide means to generate single-copy insertions, thus potentiating the generation of genome-wide insertion libraries applicable in genetic screens.

The P value for a significant overlap between the two expression studies being substantially different from random studies is <10−16.

Looking at the plot of the average values, just about three genes are substantially above the random dispersion pattern and none below.

At the same time, effective TRNs of the four inter-strain profiles did not deviate substantially from a random model, as expected from our experimental design.

As illustrated in Figure 1, the results from the fixed effect models differ substantially from the random effect model by using greater weights for PROWESS.