Getting Started with the SAS(R) 9.2 ADX Interface for Design of Experiments
Acknowledgments- Overview of ADX
- The ADX Interface
- Chapter Topics
- Your First ADX Session
- Design of Experiments Process
- Getting Started with a Simple Example
- Using ADX Help
- Points to Remember
- Full Factorial Designs
- Chapter Topics
- Experimental Objective
- Creating a Full Factorial Design
- Defining Factors and Responses
- Selecting the Design
- Editing the Response Values
- Reviewing the Design Details
- Analyzing a Full Factorial Design
- Optimizing Multiple Responses
- Tying It All Together
- Points to Remember
- Fractional Factorial Designs
- Chapter Topics
- Experimental Objective
- Selecting a Fractional Factorial Design
- Exploring Responses
- Analyzing a Fractional Factorial Design
- Optimizing Responses
- Tying It All Together
- Points to Remember
- Fractional Factorial Designs with Blocks and Center Points
- Chapter Topics
- Experimental Objective
- Creating a Customized Fractional Factorial Design
- Defining Factor, Response, and Block Variables
- Creating a Fractional Factorial Design with Blocks
- Using the Customize Window to Add Center Points
- Reviewing a Customized Fractional Factorial Design
- Analyzing the Response Data
- Tying It All Together
- Points to Remember
- Plackett-Burman Designs
- Chapter Topics
- Experimental Objective
- Creating a Plackett-Burman Design
- Analyzing a Plackett-Burman Design
- Tying It All Together
- Points to Remember
- Response Surface Designs
- Chapter Topics
- Experimental Objective
- Creating a Response Surface Design
- Analyzing a Response Surface Design
- Optimizing Factor Settings
- Points to Remember
- Optimal Designs
- Chapter Topics
- Experimental Objective
- Creating the Optimal Design
- Defining Factors
- Specifying a Model
- Specifying a Candidate Set
- Choosing the Search Method
- The Optimal Design
- Analyzing an Optimal Design
- Points to Remember
- Mixed-Level Designs
- Chapter Topics
- Experimental Objective
- Creating a Mixed-Level Design
- Creating an Inner Array Design
- Creating an Outer Array Design
- Creating a Signal-to-Noise Ratio Response
- Reviewing a Mixed-Level Design
- Analyzing a Mixed-Level Design
- Optimizing a Response
- Tying It All Together
- Points to Remember
- Mixture Designs
- Chapter Topics
- Experimental Objective
- Creating a Simplex-Lattice Mixture Design
- Analyzing a Simplex-Lattice Mixture Design
- Tying It All Together
- Points to Remember
- More on Mixture Designs
- Creating a Constrained Mixture Design
- Defining Variables and Constraints
- Creating the Design
- Analyzing and Optimizing a Constrained Mixture Experiment
- Creating a Mixture Design with Process Variables
- Experimental Task
- Defining Variables
- Creating the Process Mixture Design
- Analyzing the Mixture Experiment
- Optimizing the Mixture Design with Process Variables
- Points to Remember
- Split-Plot Designs
- Chapter Topics
- Experimental Objective
- Creating a Split-Plot Design
- Analyzing a Split-Plot Design
- More on Mixed Models
- Fractional Factorial Split-Plot Designs
- Points to Remember
- Special Topics
- Overview
- Design Augmentation
- Covered in This Section
- Augmenting Designs
- Folding Over a Design
- Adding Optimal Runs
- Augmenting to a Response Surface Design
- Deleting Inactive Factors
- Points to Remember
- Creating Nonstandard Designs
- Creating a Nonprincipal Fraction Design
- Creating a Design with the FACTEX Procedure
- Creating a Design with a SAS Program
- The Dual-Response Approach
- Useful Techniques
- Glossary of ADX Terms
- References
Index here
| Product | Release |
|---|---|
| SAS/QC | 9.2 |
- Type
- Usage and Reference
- Copyright Date
- March 2008
- Last Updated
- 24Feb2009
| Overview of ADX |
Getting Started with a Simple Example
The best way to learn the ADX Interface is to work through a simple example. This example creates a fractional factorial design and illustrates a few of the plots you can use to explore the data.
Experimental Objective
Task List
Creating the Design
Exploring Results
HTML Reports
Exiting ADX
Copyright © 2008 by SAS Institute Inc., Cary, NC, USA. All rights reserved.