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 |
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Pages (from-to) | 1429-1439 |
Number of pages | 11 |
Journal | Biometrics |
Volume | 51 |
Issue number | 4 |
DOIs | |
Publication status | Published - 1995 |