Residual Analysis
Analyze residuals using whiteness and independence tests
Residuals are differences between the one-step-predicted output from a model and the measured output from the validation data set. In other words, residuals represent the portion of the validation data not explained by the model.
Functions
Topics
- 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.
- 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.