JMP 14.0 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
Profilers
Design of Experiments Guide
Fitting Linear Models
Predictive and Specialized Modeling
Multivariate Methods
Quality and Process Methods
Reliability and Survival Methods
Consumer Research
Scripting Guide
JSL Syntax Reference
JMP iPad Help
JMP Interactive HTML
Capabilities Index
JMP 13 Online Documentation
JMP 12 Online Documentation
Reliability and Survival Methods
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Destructive Degradation
• The Destructive Degradation Report
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The Destructive Degradation Report
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 7.14
Model List and Model Outlines
Model List
The first three 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
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.
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Help created on 7/12/2018