To test the hypothesis that the sex composition of recent migrants could account for this finding, we applied the 'G-computation' estimation method.
Table 3 also highlights the closeness of the results obtained using Monte Carlo G-computation and G-computation via estimation by combination; however, this required the size of the Monte Carlo sample to be increased to 100,000.
Besides, the presented method has advantages over the extended Kalman filter (EKF) and sliding mode observer (SMO) algorithms in terms of computation cost, estimation accuracy and convergence rate.
The results show that although the method based on the over-complete dictionary needs more computation, the estimation accuracy is improved obviously and the pilot resource is reduced very much.
On reviewing Figure 13, it can be seen that the amount of energy corresponding to 91.08% of the energy consumed in cases where DVFS was not used was consumed in the case of best performance under [2], and 91.41% of the energy was consumed in the case where the proposed method was used despite the fact that no separate computation for estimation was conducted.
We present a novel framework, coined Barinel, that computes estimations of the gj as integral part of the posterior candidate probability computation using a maximum likelihood estimation approach.
Thus, kriging is used to obtain low computation time estimations of the model outputs.
Likelihood computations and estimation were performed using the program developed by Clayton [ 12].
Given the high computational cost involved, binning techniques were used to speed up computation in the estimation and testing processes.
This paper focuses on exploiting two computational intelligence techniques such as artificial neural network and evolutionary computation techniques in estimation of harmonics in power system.
