Sentence examples for both model structure and from inspiring English sources

both model structure and parameter errors.

However, there is great uncertainty concerning both model structure and parameter values.

This will include issues around both model structure and time horizon, as well as parameter values where these are common to both decision problems.

This section presents the results of applying the statistical fusion model proposed in Section 3 to the Glasgow case study outlined in Section 2. Section 4.1 presents a validation study, which compares the appropriateness of our proposed model against a number of alternative models in terms of both model structure and covariate choice.

Theoretical predictions have been compared with laboratory measurements conducted on both model structures and aircraft panels.

Because a mixture of Gaussian distributions is used to approximate the conditional distribution of the target random variable (either wind speed or wind turbine power), the uncertainties arising from both the model structure and model output can be completely quantified.

However, when several plausible candidate models are available we have a model selection problem, where both the model structure and parameters are unknown.

All these structural changes will introduce more state variables and model parameters, thus nothing would be gained by these efforts without the generation of accurate quantitative data to pin down both the model structure and the parameter values.

The correction of the problems that we identified in the annotations and models contained in the BioModels Database requires substantial knowledge about both the model structure and their applications.

Model identifiability is a major one; it is not currently understood on how to design experiments such that we have high confidence in both the model structure and its estimated parameter values.

As an empirical modelling tool, GLM with interaction terms outperformed the other two methods tested, ANN and RT, in terms of both the simplicity of the model structure and the performance of derived empirical functions.