The manifold of MHS schemes considered here is defined by arbitrary settings of sampling phases ('primary phase shifts') and amplitudes of the two interferograms.
Comparing with same datasets running by PLINK (with parameter "epistasis"), PLINK-fast (PLINK with parameter "fast-epistasis"), PLINK Q) which works on the quantitative trait, BHIT obviously got confidential results in Null Models with different settings of samples.> -wrap-foot> Simulation results of statistical power on Null models.
We consider two settings each of sample size and mixing proportion vectors (a total of four settings).
For the null distribution simulations, we consider two settings each of sample size and mixing proportion vectors (a total of four settings).
The results validate that the power φ PP increases with increasing C α (or equivalently increasing correlation for the same k) in the "pre-post" test settings, regardless of sample size N and number of items k.
It shows the privacy settings of a sample of a million Flickr users from 2005.
The better accuracy of the new dilution unit in presence of an additional aerosol sampling filter in comparison to a previously described aerosol sampling system is shown for different settings of the sampling system.
Optimal settings of the sampling system lead to PSDs that correspond well to those measured by the evaporation minimising NGI approach (15 L/min, cooled) and laser diffraction.
As shown in Table 3, in Null Model 1 only 2.1 % of 1000 datasets in each simulation at least one phenotype were incorrectly inferred as associated with given genotypes with the settings of 1000 samples in BHIT, and this number decreased to 1.9 and 0.6 % with settings of 2000 and 5000 samples.
Table 1 shows the weighted kappa for the BF and AP domains stratified by evaluators' years of experience, and by care settings of the samples, along with the referential weighted kappa value of the TAI scales.
