JMP 12 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
Profilers
Design of Experiments Guide
Fitting Linear Models
Specialized Models
Multivariate Methods
Quality and Process Methods
Reliability and Survival Methods
Consumer Research
Scripting Guide
JSL Syntax Reference
JMP iPad Help
JMP Interactive HTML
Capabilities Index
JMP 13.2 Online Documentation
Design of Experiments Guide
• Augmented Designs
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Augmented Designs
Experimental design is best treated as a sequential process. Ambiguities that result from a single design can be resolved by conducting further experimental runs.
For an existing design table, the Augment Design platform constructs additional runs in a way that optimizes the overall design process. You can add runs to accomplish the following objectives:
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replicate the design a specified number of times
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add center points
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create a foldover design
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add axial points together with center points to transform a screening design to a response surface design
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add space filling points to a design
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add runs to the design using a model that can have more terms than the original model
This chapter provides an overview of the Augment Design platform. It also presents a case study of design augmentation.
Contents
A D-Optimal Augmentation of the Reactor Example
Analyze the Augmented Design
Factors
Augmentation Choices
Replicate a Design
Add Center Points
Creating a Foldover Design
Adding Axial Points
Space Filling
Adding New Runs and Terms
Define Factor Constraints
Special Augment Design Options
Save the Design (X) Matrix
Modify the Design Criterion (D- or I- Optimality)
Select the Number of Random Starts
Design Search Time
Specify the Sphere Radius Value