

\subsection{\bf 3.3\hspace{1em} Counter Physics---Introduction}
\subsection{\bf and Poisson Process---I}

\begin{slide}
\begin{itemize}
\item For historical reasons, I am forced to take my examples from
high energy physics.

\vspace*{10pt}
\centerline{\psfig{figure=fig12.phys.ps,clip=true,width=5.5in}}
\vspace*{10pt}

\item Take $M$ happy smiling counters---all arranged in a row:
Suppose they count random events that fall in their province.  

\item Then each of them has a parameter $\lambda_i$ associated with
them such that distribution of number $n_i$ of events in counter is a
Poisson distribution with parameter $\lambda_i t$ ($t$ is time).
\end{itemize}
\end{slide}

