

\subsection{\bf Bubble/Spectrometer---Physics}
\subsection{\bf Individual Events with Continuous}
\subsection{\bf Distributions---V}

\begin{slide}
\begin{itemize}
\item Note that just as in Section 3.3---if time $t$ is unknown we can
find it from
\begin{eqnarray*}
\frac{\partial L}{\partial t} & = & 0 \hspace{2em} \mbox{which gives}
\\
t & = & \frac{N}{{\displaystyle\int\limits} p(x)\, dx}
\end{eqnarray*}

\item when we get, with respect to remaining parameters $\alpha$,
\begin{equation}
L(\alpha ) \propto \prod^N_{i=1} \left\lbrace \frac{p(x_i,
\alpha)}{{\displaystyle\int} p(x, \alpha) dx} \right\rbrace
\end{equation}
---the product of normalized probability distributions.

\item If $t$ is known, the discussion is again similar to this case in
Section 3.3.
\end{itemize}
\end{slide}

