Publication date: 08/13/2020

Using the Evaluate Design platform, you can:

• See the strengths and limitations of your existing experimental design.

• Determine your design’s ability to detect effects associated with meaningful changes in the response.

• Address prediction variance and the precision of your estimates.

• Gain insight on aliasing.

• Obtain efficiency measures.

The Evaluate Design platform generates the results that appear in the Design Evaluation outlines provided by several DOE platforms. Diagnostics provided by both Evaluate Design and the Design Evaluation outlines include the following:

• power analysis

• a prediction variance profiler and surface plot

• a fraction of design space plot, showing how much of the design space has prediction variance above a given value

• estimation efficiency measures for parameter estimates

• the alias matrix, showing the bias structure for model effects

• a color map showing absolute correlations among effects

• design efficiency values

Figure 15.1 Comparison of Two Fraction of Design Space Plots

Want more information? Have questions? Get answers in the JMP User Community (community.jmp.com).

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