This paper discusses a number of candidates for robust estimator TS of a simple linear functional relationship
(SLFR). The classical maximum likelihood estimators of the SLFR can be affected by the presence of possible
outliers. This is due to the fact that they are mean-based estimators. Some median-based estimator of the SLFR
are examined. Among those considered Their-type estimators and the modified LI-norm estimator are found
to be most robust (i.e insensitive to the outliers)
