Sentence examples for model assessment are from inspiring English sources

The details of the model specifications, estimation, data augmentation and the model assessment are described below.

Other reported properties that are useful for model assessment are flame surface density and global consumption speed, which is one type of turbulent burning velocity.

These techniques for model assessment are implemented in the package R‐INLA which can easily be used in R and aim to score the models with respect to their appropriateness explaining the observed data.

Other studies using more robust markers of insulin sensitivity such as homeostasis model assessment are needed to determine the full degree to which insulin sensitivity mediates the association between alcohol consumption and diabetes.

Homeostasis model assessment was used to assess insulin resistance (HOMA-IR) and β-cell function (HOMA-B) (12).

Insulin sensitivity, as assessed using homeostasis model assessment, was lower in people with type 2 diabetes than in control subjects (P < 0.05) (Table 2).

This model assessment is deployed to be robust to the potential influence of outlier cities.

Model assessment is important to distinguish between procedures to parameterize (calibrate) a model and those to validate a model.

The procedure integrating parameter selection, uncertainty propagation, uncertainty quantification, parameter calibration, and model assessment is suitable for models with massive degrees-of-freedom and complex input output relationship.

Estimates of insulin resistance based on homeostatic model assessment were also significantly affected in subjects with the rs3741845 T allele.

Model assessment was found to adequate.