Abstract
Robust regression can be used to identify one-cell interactions in multiway factorial designs. One-cell interactions appear as mean slippage outliers to a low-order model, and robust regression gives these cells low mean weight. I use mean cell weight as a diagnostic criterion for one-cell interactions and provide approximate critical values for mean cell weights. Several examples illustrate the method.
Original language | English (US) |
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Pages (from-to) | 403-408 |
Number of pages | 6 |
Journal | Technometrics |
Volume | 36 |
Issue number | 4 |
DOIs | |
State | Published - Nov 1994 |
Externally published | Yes |
Keywords
- Factorial designs
- Outliers
- Robust regression
- Robust weights