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Therefore, we could not constrain the BPT model parameters well, but probabilities for the next 30 years could be estimated by taking the average of the probable hazard function and comparing this with the currently reported value.
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Predicted model parameters corresponded well with values reported earlier.
We consider the cases where the heterogeneity exists in other model parameters as well.
The jointly fitted transport model parameters compared well with those fitted to independent batch experiments.
When the model parameters are well known, then either the D-optimal or G-optimal designs would be preferred.
Furthermore, the identified model parameters agreed well with values that were reported in the literature and could be reasonably interpreted.
However, we note that, because the Hessian matrix depends on the nonlinear model parameters as well as GGD noise parameters, maximization of the Fisher Information Matrix constitutes high variance bounds.
Curve fitting of hysteresis cycles obtained from numerical simulations allowed determination of Valanis model parameters as well as assessment of bolt preload influence on these parameters.
The experimental data are useful for determining constitutive model parameters as well as for validating models and simulation procedures for electromechanical coupling in EAP actuators.
Our findings prompt us to extend Keane and Runkle's tests to a revised General Method of Moments (GMM) estimate of model parameters as well as standard errors.
Sensitivity analysis is a useful tool to identify key model parameters as well as to quantify simulation errors resulting from parameter uncertainty.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com