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The validation of the MOTT code fragmentation model was accomplished using existing explosive fragmentation munition arena test data.
The validation of the PAFRAG code fragmentation model was accomplished using the existing munition arena test data.
EMU decomposition of the metabolic network model was accomplished using Metran software [ 22].
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The formulation of the deposition model is accomplished using a 2D cylindrical heat flow model.
The training and testing of the model were accomplished using randomly-selected 67% (100 data sets) and 33% (50 data sets) of the data sets, respectively.
Calibration and validation of the model were accomplished using the Hosmer-Lemeshow goodness-of-fit statistic and external validation.
Dynamic modeling and simulation are accomplished using MATLAB Simulink™ 7.2.
Using this suggested evolutionary model, tree reconstruction was accomplished using both distance based (Neighbor-Joining) and character based (Maximum Likelihood) methods.
The modelling process was accomplished using adaptive neuro-fuzzy inference system (ANFIS) and polynomial modelling approaches.
Modelling and inference using standard general linear model (GLM) design set-up was accomplished using permutation test (5000 permutation) as implemented in FSL [17].
Model selection for phylogenetic analysis was accomplished using MrModeltest2 (Nylander 2004).
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