(11) Examine parameter correlations to identify highly correlated parameters and reduce the number of free parameters in optimizations.
This demonstrates our geometric interpretation of parameter correlations, i.e. to estimate a group of three correlated parameters at least three distinct data sets with different inputs are needed.
Their quantile scores are consistent with the observed parameter correlations.
Additionally, parameter correlations are calculated and tested for their significance.
Existence of high parameter correlations is one of the major problems during parameter estimation.
Furthermore, fuel correlations and technology parameter correlations are indicative and based on expert judgments.
However, when the model contains more than one kinetic constant, the number of parameter correlations is larger than the number of reference temperatures that can be defined; consequently, it becomes impossible to eliminate all the parameter correlations simultaneously.
In this work, a reparameterization technique is presented to allow for reduction of parameter correlations in power function models.
This work provides guidance for characterization of parameter correlations when propagating uncertainty in seismic response assessment of structures.
All parameter correlations are in a form suitable for inclusion in an appropriate gas-solid reaction model.
In this work, PCP-SAFT parameter correlations with molar mass were developed for five homologous series of non-polar and three homologous series of dipolar substances.
