Sentence examples for model assessment is from inspiring English sources

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.

In those without DM2, fasting glucose and insulin levels are measured and the Homeostatic Model Assessment is calculated [(fasting insulin in μunits/ml X fasting glucose in mmol/L) ÷ 22.5] [ 42- 47].

Model assessment is performed by analysing the quality of the packing in the core of the structure and/or model, the extent of exposed hydrophobic surface and the putative effect of deletions and insertions.

However, model assessment is already challenging when only one source of data is involved (e.g. see Knock and O'Neill, 2014; Lau et al., 2014, for examples in the infectious diseases literature), and becomes even more problematic when simultaneously modelling multiple sources of information.

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).

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.

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