The problem of outliers is one of the oldest in statistics, and during
the last century and a half interest in it has waxed and waned several
times. Currently it is once again an active research area after some
years of relative neglect, and recent work has solved a number of old
problems in outlier theory, and identified new ones. The major results
are, however, scattered amongst many journal articles, and for some time
there has been a clear need to bring them together in one place. That
was the original intention of this monograph: but during execution it
became clear that the existing theory of outliers was deficient in
several areas, and so the monograph also contains a number of new
results and conjectures. In view of the enormous volume ofliterature on
the outlier problem and its cousins, no attempt has been made to make
the coverage exhaustive. The material is concerned almost entirely with
the use of outlier tests that are known (or may reasonably be expected)
to be optimal in some way. Such topics as robust estimation are largely
ignored, being covered more adequately in other sources. The numerous ad
hoc statistics proposed in the early work on the grounds of intuitive
appeal or computational simplicity also are not discussed in any detail.