Design of Experiments Guide  • Choice Designs • Choice Design Window • Model

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Model
The model outline consists of two parts:
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You can specify your assumed model, which contains all the effects that you want to estimate. See DOE Model Controls.
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You can specify prior knowledge about the attribute levels, which can result in a better design. See Prior Specification.
DOE Model Controls
Specify your assumed model in the DOE Model Controls outline. All main effects are included by default. Click the Interactions button to add all two-way interactions.
Figure 18.17 DOE Model Controls Outline
When you construct your design table, JMP saves a Choice script to the data table. The Choice script contains the main effects shown in the DOE Model Controls outline.
The DOE Model Controls outline contains the following buttons:
Main Effects
Adds main effects for all attributes in the model.
Interactions
Adds all second-order interactions. If you do not want to include all of the interactions, select the interactions that you want to remove and click Remove Term.
Remove Term
Removes selected effects.
Prior Specification
Enter specifications for a multivariate normal prior distribution on the model parameters. Enter the prior distribution’s mean in the Prior Mean outline and its covariance matrix in the Prior Variance outline.
Figure 18.18 Prior Specification Outline
You can ignore the prior specifications using these options:
Ignore prior specifications. Generate the Utility Neutral design.
Sets the prior means to 0 and generates a locally D-optimal design. This design is called a utility-neutral design. For more information, see Huber and Zwerina (1996).
Ignore prior variance. Generate the local design for the prior mean.
Generates a locally D-optimal design. The local design takes into account the prior on the mean but ignores the covariance matrix. For more information, see Huber and Zwerina (1996).

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Help created on 3/19/2020