Correlation Based Model Validity Tests for Nonlinear Models

摘要

Model validity tests for nonlinear systems were developed. It is shown that covariance tests developed for linear systems provide incorrect information when applied to nonlinear systems and tests based on higher order correlation functions were derived. The application and interpretation of these tests to simulated and real data is demonstrated. The tests detect omitted linear and nonlinear dynamic terms in estimated models.