In our previous work, we used PSO as an evolutionary under-sampling technique, in order to select the best possible sample subset from the majority class.
The worst possible sample for carbon dating was taken.
The results are robust against possible sample selection biases due to firms' discretional R&D disclosure.
It calculates the matching solution with maximum balance for each possible sample size (N, N-1, N-2,...).
DerSimonian and Laird random-effects model was employed, as our effect sizes were assumed to be sampled from a large number of possible sample sizes.
The measurements were carried out with 1 s exposure time and repeat for 20 times to avoid possible sample radiation damage.
This paper shows that CURE plots are essential tools for calibrating SPF, while also providing information for possible sample stratification.
With simple random sampling, every possible sample of size n has the same probability of being selected.
Well, of course, we quickly reconstructed the zero function out of those zeroes, but now let me take another obviously important possible sample.
Combining more than 200 studies over 30 years to create the largest possible sample, the paper finds that the amount of equity executives own does not affect their company's performance.
To allow for the largest possible sample size, we based the network models on the full-information sample (N CA = 638; N no-CA = 501), using complete pairwise cases.
