

\subsection{\bf Practical Advice on Use}
\subsection{\bf of Maximum Likelihood---I}

\begin{slide}
\begin{itemize}
\item So usually people warn you by saying: 

\item ``If distribution of $\alpha$ {\bf not} Gaussian, then do not
simply quote maximum and standard deviation, rather plot the
likelihood.''

\item Unfortunately, this is dubious, because for {\bf small\/} $n$,
nobody has proved any theorems and $P(\alpha\vert T)$ philosophy
important

\item while for large $n$, theorems are proven on the relevance of the
likelihood method

\begin{description}
\item{$\bullet$} but they also prove $L$ is Gaussian!
\end{description}
\end{itemize}
\end{slide}

