Abstract
The simplest case of a random effects or variance components model is given by g groups with random location. We apply several general principles which can help to obtain robust methods to this situation. Two approaches, introduced by Rocke (Biometrika 70 (1983) 303-309) and Fellner (Technometrics 28 (1985) 51-60) are described and elaborated. A small simulation study suggests that considerable gains can be obtained by using robust procedures.
| Original language | English |
|---|---|
| Pages (from-to) | 295-319 |
| Number of pages | 25 |
| Journal | Journal of Statistical Planning and Inference |
| Volume | 57 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 1 Feb 1997 |
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