Definitions of robust maximum likelihood (robust ML) and robust restri
cted maximum likelihood (robust REML) are introduced, and the definiti
ons are applied to data from biological and chemical experiments. A si
mulation study is undertaken to investigate the asymptotic properties
of robust ML and robust REML in small samples and to examine the advan
tages of using robust methods.