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414 JMP Starter Appendix A
The DOE Category
See JMP Design of Experiments for complete documentation of DOE in JMP.
Figure A.11 JMP Starter DOE Category
Custom Design Clicking the Custom Design button, or choosing DOE > Custom Design,
generates a D-optimal design for the design you specify, and an optional I-optimal design for
response surface designs. Custom designs can have continuous factors and categorical factors
with arbitrary numbers of level, interactions, and mixture ingredients. A design can also have
covariates, which are factors that already have unchangeable values; a design is built around the
covariate. You can construct custom design models, including interaction terms and polynomial
terms for continuous factors. Factors can have inequality constraints. You can also specify the
number of experimental runs, which can be any number greater than or equal to the number of
terms in the model.
Screening Design Clicking the Screening Design button, or choosing DOE > Screening
Design, enables you to specify continuous factors, two- and three-level factors, and categorical
factors. It creates a table of classical screening designs from which you can pick.
Response Surface Design Clicking the Response Surface Design button, or choosing DOE >
Response Surface Design, lets you define a number of continuous factors. This environment
then offers a table of classical response surface designs from which to select.
Choice Design Clicking on the Choice Design button, or choosing DOE > Choice Design, lets
you design Choice experiments. See Choice above for details about Choice models.
Nonlinear Design Clicking the Nonlinear Design button, or choosing DOE > Nonlinear
Design, lets you create an optimal design for models that are nonlinear in the parameters.
Space Filling Design Clicking the Space Design Filling button, or choosing DOE > Space
Filling Design, lets you run experiments for modeling systems that are deterministic or near
deterministic. You can choose to emphasize spreading points apart, mimic the uniform
distribution, or choose a compromise between the two.