

\subsection{\bf Comparison of Methods---II}

\begin{slide}
\begin{itemize}
\item We see very clearly that the arithmetic mean is hopeless for
broad distributions.

\item The median and Andrews methods are very good in these cases with
the Andrews being better in Gaussian case ($\sigma$ only 4\% more than
best estimate) but less robust in other examples.

\item Note that all the methods {\em except\/} the arithmetic mean
require all the $x^{(i)}$ being in memory so that we can order them.

\item So the computer complexity is much higher for the robust
estimates.

\item The book of Andrews gives computer programs for all the robust
estimators.
\end{itemize}
\end{slide}

