

\subsection{\bf 3.4\hspace{1em} Bubble Chamber}
\subsection{\bf or Spectrometer Physics---I}

\begin{slide}
\begin{itemize}
\item This is like Equation~(16) except that every event (not every
counter) has its own probability $p_i$.  

\item Typically, the events are
labelled by continuous parameter(s), and so $p_i$ is a continuous
probability density.  

\item So far, we haven't discussed how to apply maximum
likelihood method to a counting problem with continuous probability
distribution 

\begin{description}
\item{$\bullet$} (lifetime example was continuous but not a counting
experiment).  
\end{description}
\end{itemize}
\end{slide}

