

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

\begin{slide}
\begin{itemize}
\item So correct warning is: ``If distribution not
Gaussian---everything is OK if either:

\begin{description}
\item{$\bullet$} ($\alpha$) Just many sharp humps as in $\sqrt{\alpha}$
example, data can be fitted with $>1$ value of parameter.
\item{$\bullet$} ($\beta$) If several parameters, can be Gaussian in
some and flat in others if depends weakly (or not at all!) on them.
\item{$\bullet$} ($\gamma$) Gaussians maybe distorted by effects due to
end of range.
\end{description}

\item If ($\alpha$), ($\beta$), or ($\gamma$) don't apply and
distribution of $\alpha$ {\bf isn't} Gaussian, then one can only be
unhappy!

\item You should apply for a new grant and do a better experiment!
\end{itemize}
\end{slide}

