Using the Evaluate Design platform, you can:
• See the strengths and limitations of your existing experimental design.
• Determine the ability of your design 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 sections provided by several DOE platforms. Diagnostics provided by both Evaluate Design and the Design Evaluation sections 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 16.1 Comparison of Two Fraction of Design Space Plots