Examples of 'model validation' in a sentence

Meaning of "model validation"

model validation: Model validation is a process used in statistics, data analysis, and predictive modeling to assess the accuracy and reliability of a statistical model by testing its performance against empirical data or real-world observations

How to use "model validation" in a sentence

Basic
Advanced
model validation
Visual model validation was never this easy.
Case study performed as a part of model validation.
Further model validation studies are also suggested.
Identification of model parameters and model validation.
Our dynamic model validation should be continued.
A generic standard operating procedure for model validation.
Model validation and selection of its structure.
This testing method is generally called model validation.
Model validation and recognition of the validity limits of a model.
The final chapter is dedicated to the model validation.
Spatial model validation and im plications for next steps.
Pig tissue samples were studied for model validation.
Discussion focused on model validation methods and performance measures.
Model validation statistical instruments.
The difficulty of model validation.

See also

Model validation with measurements.
Numerical methods also play an important role in model validation.
Model validation and verification.
Ods inventory update and predictive inventory model validation.
Model validation is performed by finite element and experimental measurements.
The next step following model building is of model validation.
Possibility of model validation by ground measurements with a microwaves radiometers.
This group is responsible for the oversight of model validation practices.
A second level of model validation was performed by using permutation testing.
Observational data of high and known quality was fundamental for model validation and development.
Model validation group.
Measurement model validation.
The model validation results help to estimate prediction capability in similar applications.
Business model validation.
The test results were used as reference data for a human finite element model validation.
The necessary measurement data for model validation and model development.
For model validation this information can be compared with results from space debris environmental models.
The techniques and philosophy for model validation are discussed and illustrated.
Model validation showed that the generatednumerical simulation and surrogate models adequately describe the experimental data.
A parametric study is then proposed for model validation and process analysis.
The Model Validation department can manage the quality of the applied calculation models better.
Both model parameter extraction and model validation are carried out by means of experimental measures.
The VOC monitoring data had been shown to be invaluable for model validation.
Black liquor spray model validation with particle image velocimetry measurements.
Prepare intercomparison and validation of POP models and necessary statistical instruments for POP model validation.
To the proposition and subsequent model validation were conducted qualitative and quantitative research studies.
Model validation was impeded by a shortage of near-field monitoring data.
Statistical instruments Model validation and verification.
MPE Model validation is performed by the verification of different constituent parts separately.
However, this deviation did not compromise the model validation.
CDCC Model Validation Framework sets the expectation in terms of ongoing validation and independent vetting.
For more on this topic, see statistical model validation.
The model validation through measurements;.
In the literature, it is common to refer to model validation and verification.
Subsequently, better model validation and improved ability to predict environmental conditions were attained.

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