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In Table 5, we provide the range of LUC GHG emissions results that can be obtained by varying the key surrogate CENTURY and CCLUB modelling parameters as described above.
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Instead, SRC and XDS calibration models were developed using the exact same calibration and validation sample sets, spectral pretreatments, and PLS modeling parameters as those previously described for the Thermo autosampler.
We consider the cases where the heterogeneity exists in other model parameters as well.
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.
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.
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.
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.
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.
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