this is for holding javascript data
Aldo Nassigh edited subsection_The_Distribution_of_Arrival__.tex
almost 9 years ago
Commit id: 07b332e59cf1c8c311ff75a9fceb4bc361f8cd19
deletions | additions
diff --git a/subsection_The_Distribution_of_Arrival__.tex b/subsection_The_Distribution_of_Arrival__.tex
index 7f31a83..7e7ba8f 100644
--- a/subsection_The_Distribution_of_Arrival__.tex
+++ b/subsection_The_Distribution_of_Arrival__.tex
...
P(k) = \frac{\lambda^k \cdot e^{- \lambda}}{k!}
\end{equation}
where $\lambda$ is the mean arrival count.
The plot below shows the probability mass function (\textit{pmf})
\eqref{Poisson} under the Poisson distribution in three cases ($\lambda=1$, $\lambda=4$ and $\lambda=10$).