Abstract
SUMMARY: A class of two-way mixed analysis of variance models is proposed, in which the fixed and random effects enter multiplicatively. Equations are developed for iterative computation of maximum likelihood estimates via a scoring algorithm. Parameter estimation and hypothesis testing are illustrated on a set of plant genetics data.
| Original language | English |
|---|---|
| Pages (from-to) | 729-739 |
| Number of pages | 11 |
| Journal | Biometrika |
| Volume | 78 |
| Issue number | 4 |
| DOIs | |
| State | Published - Dec 1991 |
Keywords
- Analysis of variance
- Multiplicative interaction
- Scoring algorithm
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