Abstract
Definitions of robust maximum likelihood (robust ML) and robust restricted maximum likelihood (robust REML) are introduced, and the definitions are applied to data from biological and chemical experiments. A simulation study is undertaken to investigate the asymptotic properties of robust ML and robust REML in small samples and to examine the advantages of using robust methods.
| Original language | English |
|---|---|
| Pages (from-to) | 1429-1439 |
| Number of pages | 11 |
| Journal | Biometrics |
| Volume | 51 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 1995 |