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For modellers, stakeholder acceptance of a model usually hinges on data accuracy, model reliability, and problem uncertainty.
Model reliability is tested by comparison with experimental data.
New error metrics increase the overall model reliability.
We used ray coverage in addition to checkerboard test results to represent model reliability.
Model reliability can be verified because six cities in scenario 3 are in accordance with reality.
Model reliability in the estimation of the parameters is established through a sensitivity analysis.
This review highlights the variability found when reporting biomechanical model parameters, methodological design, and model reliability.
Afterwards, the information about the model reliability was verified by using the analysis of variance (ANOVA).
At first, the model reliability is verified through experimental comparisons during a summer period.
So we propose a new way of using a Kohonen map to improve model reliability.
These important steps are however recurrently violated, severely affecting the model reliability and predictive power.
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CEO of Professional Science Editing for Scientists @ prosciediting.com