Sentence examples for model discrimination for from inspiring English sources

An optimal experimental design method for model discrimination for polynomial uncertain systems is presented that can be used to discriminate models based on dissimilarity of the probability densities of the model outputs.

This work is part of a study of model discrimination for aggregation processes characterised by continuous particle size distribution.

In this work the posterior covariance matrix of difference between model predictions is taken into account during the design for model discrimination for the first time.

The procedure used here may further be used in the investigation of identifiability of parameters or model discrimination, for example to check whether joint assumption of rapid adsorption and intraparticle diffusion can be accepted in the view of experimental data.

Using NRBCs in the regression model, we found an improvement in model discrimination for mortality with respect to correct allocations from 66.4 to 71.1% (4.7% improvement, full model) and from 66.4 to 72.0% (5.6% improvement, selected model), respectively.

We implemented the widely used CXTFIT code in Excel to provide flexibility and added sensitivity and uncertainty analysis functions to improve transport parameter estimation and to facilitate model discrimination for multi-tracer experiments on structured soils.

The paper presents a methodology for optimal input design for model discrimination from experimental data.

These two variables yielded an AUC for model discrimination of 0.88.

Here we compare this method to the nonlinear Sigma-Point approach for a nonlinear, multi-stable model and show its advantage for model discrimination, especially for large parameter variances.

Experimental design procedures for model discrimination and for estimation of precise model parameters are usually treated as independent techniques.

We rely on formal model discrimination criteria for a quantitative evaluation of the interpretive skill of each of the candidate models tested.