Abstract
A first-order saturated design is the smallest design resulting in unbiased estimates for all main effects. It could be misleading in the presence of interaction effects. This article provides a simple class of first-order saturated designs in which specific two-factor interactions are orthogonal to many of the main effects, while keeping rather high design efficiencies.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 725-731 |
| Number of pages | 7 |
| Journal | Journal of Statistical Theory and Practice |
| Volume | 7 |
| Issue number | 4 |
| DOIs | |
| State | Published - Oct 2 2013 |
All Science Journal Classification (ASJC) codes
- Statistics and Probability
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