Residual Analysis
Analyze residuals using whiteness and independence tests
Fonctions
resid | Compute and test residuals |
pe | Prediction error for identified model |
fpe | Akaike’s Final Prediction Error for estimated model |
aic | Akaike’s Information Criterion for estimated model |
residOptions | Option set for resid |
peOptions | Option set for pe |
Exemples et procédures
- How to Plot Residuals in the App
Create a residual analysis plot for linear and nonlinear models in the System Identification app.
- How to Plot Residuals at the Command Line
Create a residual-analysis plot for linear and nonlinear models at the command line.
- Examine Model Residuals
This example shows how you can use residual analysis to evaluate model quality.
Concepts
- What Is Residual Analysis?
Residuals are differences between the one-step-predicted output from the model and the measured output from the validation data set.