Parallel analysis is often shown by statistical simulations to be the best performing method to choose principal components [ 60, 61].
Optimization results have been validated by Monte Carlo statistical simulation technique.
So Fama and French compared the range of results produced by managers with a statistical simulation driven by random effects.
The basic idea is to collect a small number of data points by using a statistical simulation and predict the performance measures of the system for a large set of input parameters based on these.
By performing statistical simulations with the Solar Advisor Model software, it was found that the combined uncertainty (standard deviation) is approximately 8.7% for the first year of operation, and 7.9% for the average yield over the PV system lifetime.
Based on the statistical simulation model by Araar and Verme (2012), this study estimates the regional variability of direct welfare effects of removing fuel subsidies in Nigeria.
Using a technique of statistical simulation described by King et al. (2000), we computed the national SFU prevalence estimates and accounted for uncertainty.
Santa Lucia and coworkers [ 25– 27] reported the stability conferred by base pairs obtained from statistical simulation, according to the following sequence: G C > A T > G G > G T = G A > T T = A A > T C > A C > C C.
This was confirmed by others [ 14– 16], but a retrospective statistical simulation to change tumour shape, showed a decrease in concordance between uni- and bidimensional measurements when lesions became more irregular [ 17].
