

\subsection{\bf Examples of Correlations}
\subsection{\bf Exponential Fits---II}

\begin{slide}
\begin{itemize}
\item In a (non-linear) fit, $g(t)$ and $\alpha(t)$ are strongly
correlated

\vspace*{10pt}
\centerline{\psfig{figure=fig6.phys.ps,clip=true,width=4.5in}}
\vspace*{10pt}

\item so that ${\displaystyle \int\limits^1_{.5}} g(t)
(1-x)^{1-2\alpha(t)}$ is approximately preserved.

\item This integral sums all measurements, and is very well determined
experimentally, and so defines best determined mix of theoretical
parameters.

\item Unfortunately, we only want $\alpha(t)$ (predicted by theory) and
can not use fact that a particular linear combination of $\alpha(t)$
and $g(t)$ is predicted much better than either parameter on its own.
\end{itemize}
\end{slide}

