Sentence examples for the two statistics are from inspiring English sources

However, the statistical properties of the two statistics are quite similar when applied to a single site in a candidate gene test, with power of over 0.8 at the 0.01 level, demonstrating the importance differences in the adjustments made for multiple tests in full genome scans.

The two statistics are the median (m) and coefficient of variance (v) of a TE exon's expression quantities across all samples.

Second, because of the time restrictions over which a recent sweep can be detected (∼100,000 years for Africans), the timescales of the two statistics are essentially nonoverlapping.

In the RMSD evaluation of docking solutions (see below), each dimer was fitted and evaluated onto the reference structure in both possible ways, and the best of the two statistics was taken.

The difference between the two statistics was particularly large when the imputation accuracy was low.

Within other species, the estimates of the two statistics were not significant in all regions, which indicate neutral evolution for these species in the studied countries.

As shown in Figure 1a, the power of the unphased statistic was much lower than the phased statistic when one of the alleles is relatively rare, but as the allele frequency approaches 0.5 the two statistics were essentially equivalent.

The genomic correlation between the values of spatial autocorrelation of the two statistics was low (Spearman's ρ = 0.10, p < 10−16), and increased little at the top 99.9% quantile of the distributions (Spearman's ρ = 0.239, p < 10−7).

This weak correlation showed that the signals captured by the two statistics were independent at a genome-wide level and that genetic differentiation was not sufficient to reach significance in the height covariation analysis.

One of simple differences between the two statistics is that number of photons per unit of time is more uniform for lasers; functions for probabilities of distribution of photon number are different for thermal light and for lasers.

If, for example, all the weights are set to the same value (all the three statistics are given equal importance), the algorithm will attempt to level the number of RLF with that of the ping-pongs and the HO failures, although the latter happen very seldom.