The ECM method produces slightly less PAPR reduction gain because unlike conventional SLM, it uses the same phase shift for W contiguous set of subcarriers in each cluster.
In addition, the proposed method produces slightly higher PSNR value than other least square methods [9, 20] only except a few cases of capacities on two of the test images such as Lena and Pepper.
Results also show that the ECM method produces slightly less PAPR reduction performance compared with conventional SLM, particularly when the OFDM signal consists of a smaller number of subcarriers.
However, the QAR method produced slightly lower estimates that were better correlated with the VTA-GE values.
For Illumina, the differences were less marked with the vsn method producing slightly lower inter-platform correlations.
For both the subsample and the 2-sample strong IV scenarios, the SUR/delta method, sequential regression, Fieller's theorem, and the Bayesian method produced very similar confidence intervals, with the bootstrap method producing slightly wider confidence intervals.
The Pryce method and the modified Pryce method did produce slightly lower frequencies for some of the recessive alleles that had high or medium initial frequencies, but there was no apparent pattern based on the economic value of each locus.
We also observe that for correlated genes, the GSA method tends to produce slightly more false-positive results than expected.
All three WKM methods produce a slightly higher recurrence rate for the placebo group and a similar recurrence rate for the UDCA group compared to the NPMLE method, especially for the WKM methods that incorporate risk scores from censoring time into the analysis to adjust for potential dependent censoring.
The results from the simulation studies show that the methods are comparable, but produce slightly different results, which indicate differences in their sensitivity.
