Developer Tutorial: Using JMP to Create Orthogonal Mixed-level Screening Designs

Orthogonal designs are useful to test the effectiveness of many interventions simultaneously in a single experiment with minimal runs. They allow you estimate each main effect and interaction independently. When used with a large number of factors, they can be useful to narrow down a long list of potentially important factors and interactions to only a few important effects

See how to use JMP 18 orthogonal mixed-level screening designs to mix continuous and two-level categorical factors and use special constructions for mixed-level screening designs where continuous factors have some levels at the center. The three-level factors must be continuous, and the two-level factors can be either continuous or categorical. Additionally, these designs supply substantial bias protection of the main effects estimates due to active two-factor interactions.

One of the key JMP Developers will demonstrate and explain the capability. The session includes time for Q&A.

This JMP Developer Tutorial covers: creating the design, understanding design properties, conference and Hadamard matrices, comparison with Definitive Screening Designs (DSDs) and classical screening designs.