aic
Akaike’s Information Criterion for estimated model
Description
Examples
Input Arguments
Output Arguments
More About
Tips
The software computes and stores all types of Akaike's Information Criterion metrics during model estimation. If you want to access these values, see the
Report.Fit
property of the model.
References
[1] Ljung, L. System Identification: Theory for the User, Upper Saddle River, NJ, Prentice-Hall PTR, 1999. See sections about the statistical framework for parameter estimation and maximum likelihood method and comparing model structures.
Version History
Introduced before R2006a