Publication date: 11/10/2021

The Destructive Degradation report contains an outline for each model that you fit. When you fit a model, the Model List is updated with a row for that model.

Note: All models are fit using the maximum likelihood method.

Figure 8.14 Model List and Model Outlines

The first four columns in the Model List reflect the choices that you made in the plot options. The -Loglikelihood, AICc, and BIC statistics are information-based measures that can be used for model comparisons. For descriptions of these measures, see Likelihood, AICc, and BIC in Fitting Linear Models.

The three information-based measures in the Model List are comparable across models as long as the models being compared have the same Number of Actual Observations. If this is not the case, exercise caution because different models might use different subsets. The Number of Actual Observations might be reduced due to the choice of distribution or the choice of transformation. Choosing a log-location-scale distribution excludes all non-positive Y values. Also, the Log and Sqrt transformations exclude all non-positive values.

Each row of the Model List table has a red triangle menu with the following options:

Scroll To

Scrolls the report window to the corresponding model outline.

Remove

Removes the model from the Model List and removes the corresponding model outline from the report.

Want more information? Have questions? Get answers in the JMP User Community (community.jmp.com).