In all tests, we considered the guidelines as the "gold-standard", and thus we didn't investigate potential error in the guidelines.
36 For these three tests, we considered the difference between the scores obtained at T3 and at T0 (inclusion in the PAQUID study) as a quantitative variable.
To calculate the power (1-β error probability; two-tailed) achieved by our statistical tests, we considered the actual sample size, the size of the observed effect, and the α value of 0.05.
To calculate the power (1 – β error probability; two tailed) achieved by our statistical tests, we considered the actual sample size, the observed effect size, and the α value = 0.05.
For this test, we consider the average Fourier transform of IMFs over 100 realizations.
In the final test, we consider the scenario when ω=0.3 and r=0.5 are unknown.
As a favorite testbed, we consider the possible use of APSK in handheld high capacity tactical radio systems.
In this paper, for the purpose of an economical plan of the reliability test, we consider the sudden death procedure for assuring MTTF in Weibull distribution with variational shape parameter.
In the last test, we consider the fractional heat transfer problem on the domain ([0,1]) with (kappa=1), (varphi(x)=0), (g_{1}(t)=0), and (g_{2}(t)=H t-0.2 -H t-0.6)), wH t-0.2 -H t-0.6enotes tH t-0.2 -H t-0.6p function.
As example for such a test, we consider the detection of the differential variance of a gene (section 'Differential variance of a gene').
