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Five hundred bootstrap replications of the original dataset and model estimation were generated to obtain robust confidence intervals for the final model parameter estimates.
Alternatively, a set of standard measures for PLS-PM exists according to which reliability and validity of the model estimation were evaluated [ 19, 20, 39].
4. Pre-processing of image data preprocessing of MRI data, co-registration and forward model estimation were done similarly to the simulated data in " Realistic simulations " section Anatomy dataset. 5. Solving the inverse problem we performed single spike localization of EEG, MEG and MEEG data using cMEM.
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Model estimation was facilitated by generalized estimating equations, using PROC GENMOD in SAS.
Model estimation was performed using robust Weighted Least Squares (rWLS; estimator = Weighted Least Squares Mean and Variance adjusted (WLSMV)).
The dedicated core field model estimation is derived directly from the GFZ Reference Internal Magnetic Model (GRIMM) inversion and modeling family.
Model estimation was performed using robust Weighted Least Squares [ 26] (rWLS; estimator = Weighted Least Squares Mean and Variance adjusted (WLSMV)) procedures in M plus Version 3.13 [ 35].
To validate the results, time-series data were used and model estimation was satisfactory.
Coefficients from the time series models and the Root Mean Square Error (RMSE) from model estimation are used as input to the Random Forest Classifier (RFC).
The results allow to characterize the domains in which our approach is effective: it performs significantly better than BRUTO when model estimation is challenging.
The model estimation was undertaken by compiling a database consisting of 10 years of crashes that involved at least one passenger car, and occurred in a work zone.
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