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We consider the cases where the heterogeneity exists in other model parameters as well.
For the Stefan sequence, the BPSI framework is not able to estimate the motion model parameters as efficiently as for some other sequences since high camera motion occurs.
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.
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.
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.
In this paper, the expectation maximization (EM) algorithm is used as an inverse algorithm to estimate the model parameters as well as non-stationary void boundary.
The proposed methodology accounts for uncertainties in the model parameters as well as physical model inadequacies, providing estimates of the rate constant that reflect both types of uncertainties.
Sensitivity analysis is a useful tool to identify key model parameters as well as to quantify simulation errors resulting from parameter uncertainty.
The SPI model parameters as well as the future drought frequency before and after implementation of the method are found to differ widely.
Adopting a Bayesian approach allows the modeling of uncertainty in the model parameters as well.
The output of this analysis includes estimated values for model parameters, as well as BVR statistics.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com