JMP 14.2 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 13.2 Online Documentation
Predictive and Specialized Modeling
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Gaussian Process
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The Gaussian Process Report
• Actual by Predicted Plot
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Actual by Predicted Plot
The Actual by Predicted plot shows the actual
Y
values on the Y axis and the jackknife predicted values on the X axis. One measure of goodness-of-fit is how well the points lie along the diagonal (Y = X) of the plot.
The jackknife values are not true jackknife values in that the model is not re-fit with the associated row for each Y excluded. Rather, the row is excluded from the prediction model for each associated Y but the correlation parameters retain the contribution of the row in them. For Gaussian processes that perfectly interpolate the data this jackknife procedure provides predictions that are not equal to the input.
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Help created on 3/19/2020