Getting Started with the SAS(R) 9.2 ADX Interface for Design of Experiments
| Overview of ADX |
Design Objectives
Designs offered by ADX can be used to achieve specific experimental objectives, as shown in Table 2.1.
Table 2.1: Design Types and Their Objectives| Design Type | Model Objective |
| Two-level screening | Identify factors of greatest impact on response |
| Response surface | Model curvature effects |
| Mixture | Model effects that are components of a blend |
| Mixed level | Model with two- and three-level, mixed quantitative and qualitative factors |
| Optimal | Model with D- and A-optimal designs for irregular design regions |
| Split-plot | Model effects where some levels are hard to change |
| General factorial | Model with full factorial designs and factors with several levels |
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