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DOE - Design Diagnostics

Aug 13, 2013 1:16 PM
(1731 views)

If I have an ad-hoc DOE design, say one I made by hand in excel, is it possible for JMP to perform the diagnostics on this design? E.g. to show optimality for aliasing, variance estimates and so on?

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Re: DOE - Design Diagnostics

Yes, the Evaluate Design platform in JMP 10 will give you design diagnostics for an existing experimental design.

-Jeff

-Jeff

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Re: DOE - Design Diagnostics

You can judge aliasing (actually, correlation) of the predictors via the Multivariate platform. You may have to add interactions and squared terms (*etc*.) into your data table.

The effect on variance can be seen by turning on the Variance Inflation Factors (VIF) in the Fit Model Parameter Estimates table. (You can create random Y values if you want and then evaluate the design prior to collecting the data, as the VIF doesn't depend on Y)