Design of Experiments Guide  • Evaluate Designs
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Evaluate Designs
Explore Properties of Your Design
Using the Evaluate Design platform, you can:
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See the strengths and limitations of your existing experimental design.
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Determine your design’s ability to detect effects associated with meaningful changes in the response.
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Address prediction variance and the precision of your estimates.
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Gain insight on aliasing.
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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:
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power analysis
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a prediction variance profiler and surface plot
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a fraction of design space plot, showing how much of the design space has prediction variance above a given value
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estimation efficiency measures for parameter estimates
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the alias matrix, showing the bias structure for model effects
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a color map showing absolute correlations among effects
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design efficiency values
Comparison of Two Fraction of Design Space Plots
Contents 
Overview of Evaluate Design
Example of Evaluate Design
Assessing the Impact of Lost Runs
Evaluating Power Relative to a Specified Model
Evaluate Design Launch Window
Evaluate Design Window
Factors
Model
Alias Terms
Design
Design Evaluation
Power Analysis
Prediction Variance Profile
Fraction of Design Space Plot
Prediction Variance Surface
Estimation Efficiency
Alias Matrix
Color Map on Correlations
Design Diagnostics
Evaluate Design Options

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Help created on 9/19/2017