Modeling and Multivariate Methods - SAS

Chapter 24 Visualizing, Optimizing, and Simulating Response Surfaces 625
Fit Group
Using the Excel Profiler From JMP
Once an Excel file has the model inputs and outputs defined, you can profile the model from within JMP.
1. Select Graph > Excel Profiler.
2. Locate the Excel file containing the model and then click Open.
3. If the Excel file contains multiple models, you are prompted to select the model that you want to profile.
Note that the Excel Profiler is also scriptable, as follows:
Excel Profiler( "path to workbook", ) ;
If more than one model exists, and no model is specified, a window with the list of available models appears.
For more information about scripting the Excel Profiler, see the Scripting Guide.
Fit Group
For the REML and Stepwise personalities of the Fit Model platform, if models are fit to multiple Y’s, the
results are combined into a Fit Group report. This enables the different Y’s to be profiled in the same
Profiler. The Fit Group red-triangle menu has options for launching the joint Profiler. Profilers for the
individual Y’s can still be used in the respective Fit Model reports.
Fit Group reports are also created when a By variable is specified for a Stepwise analysis. This allows for the
separate models to be profiled in the same Profiler.
The Fit Group scripting command can be used to fit models in different platforms, and have the individual
models profiled in the Profiler. For more details, see the Scripting Guide.
Statistical Details
Normal Weighted Distribution
JMP uses the multivariate radial strata method for each factor that uses the Normal Weighted distribution.
This seems to work better than a number of Importance Sampling methods, as a multivariate Normal
Integrator accurate in the extreme tails.
First, define strata and calculate corresponding probabilities and weights. For d random factors, the strata
are radial intervals as follows.
Table 24.5 Strata Intervals
Strata Number Inside Distance Outside Distance
0 0
1
d d + 2d
d