Parameter Estimation with Covariance Analysis

Application ID: 119161


When estimating the parameters of a multiphysics model, both experimental noise and modeling uncertainties will contribute to corresponding uncertainties in the final parameters estimated. In this verification example, we demonstrate the new Variance functionality in the Parameter Estimation study. This functionality allows you to use experimental variance data as weights in a least-squares optimization, from which the the full parameter covariance matrix and the confidence intervals can be computed.

この model の例は, 通常次の製品を使用して構築されるこのタイプのアプリケーションを示しています.