Sentence examples for model validation process from inspiring English sources

Table 15 below shows an example of the model validation process.

Uncertainty quantification is an integral part of the model validation process and is important to take into account during the design of mechanical systems.

For this reason, a model validation process is carried out by an assessment of residuals, and also a model selection process by using information criteria and a likelihood ratio test following the specification by Davies (1987).

To explore how sensitive the model validation process is, an experiment using the GDP growth ratio as the recovery variable was conducted, and the results were quite similar to those obtained from using the population growth ratio.

A literature review of finite element analysis (FEA) studies of dental implants with their model validation process was performed to establish the criteria for evaluating validation methods with respect to their similarity to biological behavior.

The purpose of this literature review of FEA studies was to examine their model validation process and establish the criteria for evaluating validation methods with respect to their similarity to biological behavior.

Examples of these tools include appropriate loan loss reserving rules, prescriptions surrounding new products, checks on outsized growth, asset-to-stable-funding ratios, enhanced liquidity management rules generally,  and model validation processes.

Based on historical data and applicable model validation processes, the behavior of the U.S. commuters' transportation mode choice and the potential of transit transportation to mitigate CO2 emissions are both forecasted for future years up to 2050 under several possible policy scenarios.

Participants were asked about the extent to which they endorsed the following 2 statements as part of the model-validation process: 1) using the model will enhance my ability to understand and address psychosocial distress with patients and clients, and 2) using the model will enhance my ability to teach others/students how to address psychosocial distress with patients and clients.

The approach consists of four steps: (1) small-scale experimentation, (2) model parameter estimation, (3) productivity optimization and (4) model validation with process verification.

In order to test the reliability of the non-linear models, external validation process was also performed.