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Coefficient estimates for each model were determined using the full dataset and estimated via maximum likelihood.
The fluid elements age distributions, needed in the surface renewal model, were determined using the variable-interval time-averaging (VITA) method.
Material properties needed for the damage model were determined using the analytical solution for maximum fretting stress (σfretting) at the trailing edge of the contact which is assumed to drive the fretting fatigue failure.
In addition the twenty-six kinetic parameters of the revised model were determined using a genetic algorithm optimization methodology guided by auto-ignition results obtained from a detailed chemical kinetic mechanism.
The parameters of the virtual inner model were determined using the method described in Section 'Adaptive motion of the washing nozzle'.
The best constant (RC) and best rate variable (RV) model were determined using (AIC).
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The goodness-of-fit of the model was determined using the coefficient of determination, R, where an R value of 0.9 or higher was defined as a good model fit.
Safety-critical basic events (BE) in the FT model are determined using conventional risk importance measures.
Coefficients for the nonlinear elastic continuum model are determined using numerical experiments on representative volume elements of the polymer model.
The coefficients of the RS model are determined using multiple regression analysis technique at the 95% level of confidence.
The order of this 'grey box' model was determined using a theoretical, mechanistic approach, while the parameters for the model structure have been determined using data-based modelling techniques.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com