| Model Browser User's Guide | |
The likelihood view shows two plots relating to the log likelihood function evaluated at each test. It is useful for identifying problem tests for maximum likelihood estimation (MLE).
Each plot has a right-click menu that allows test numbers to be displayed on the plots and also offers autoscaling of the plots. You can also Print to Figure.
The likelihood view allows several models to be displayed simultaneously; click the Select All button at the bottom of the window or, in the model list view, Shift+click or Ctrl+click to select the models for display.
The upper plot shows values of the negative log likelihood function for each test. This shows the contribution of each test to the overall negative log likelihood function for the model, as compared with the average, as indicated by the horizontal green line.
The lower plot shows values of the T-squared statistic for each test. This is a weighted sum squared error of the response feature models for each test. As above, the purpose of this plot is to show how each test contributes to the overall T-squared statistic for this model. The horizontal line indicates the average.
| | Response Surface View | RMSE View | |
