Model Validation
Compare model to measured output, residual analysis, response plots with confidence bounds
After estimating a model, you can validate whether it reproduces the system behavior within acceptable bounds. You can then iterate between model refinement and validation until you find the simplest model that best captures the system dynamics.
Categories
- 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 independence tests
- Uncertainty Analysis
Compute parameter variability, plot confidence bounds