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This work presents an automated system for determining transmission line model parameters at various frequencies.
The full model parameters at 850 °C are already available for nickel-based single crystal CMSX4 (Dennis 2000).
Monte Carlo simulations are performed to account for the large uncertainty in model parameters at early decision levels.
We use this algorithm to identify some basic conditions of a network that ensure identifiability of model parameters: at least four distinct inter-patch distances.
A step-wise model development is described with comparison to the data and optimization of the model parameters at each step.
The results of the analysis show that the combined method can theoretically result in a unique and valid solution of the model parameters, at least for linear systems.
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Table 2 shows the calculated sensitivity coefficient for each model parameter at different 3-NP concentrations.
The set of most influential parameters those for which small perturbations have the most significant effect on PFOS and PFOA levels (coefficient within a factor of 10 of the most sensitive model parameter at any month of pregnancy or at delivery)—were allowed to vary in the Monte Carlo analyses.
One approach to estimate daily streamflow at an ungauged location is to transfer rainfall runoff model parameters calibrated at a gauged (donor) catchment to an ungauged (receiver) catchment of interest.
The model was tested on 38 data sets, not previously used to derive model parameters, collected at Patancheru, India.
All model parameters were at or below the 10% significance level; none of the parameters could thus be excluded from the model.
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