Model Validation
Compare model to measured output, residual analysis,
response plots with confidence bounds
- Model Validation Basics
Ways to validate models, refine models, troubleshooting
- Compare Output with Measured Data
Plot simulated or predicted output and measured data for comparison, compute best fit values
- Residual Analysis
Analyze residuals using whiteness and independent tests
- Uncertainty Analysis
Compute parameter variability, plot confidence bounds
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