lpha + r t) = \exp(\alpha) \exp(r t)
\end{equation}\]</span></p>
<p>Intuitively, negative values of <span class="math inline">\(r\)</span> result in a decline in the number of
observed cases, while <span class="math inline">\(r=0\)</span>
represents stability, and positive values of <span class="math inline">\(r\)</span> indicate an increase.</p>
<p>It is important to note that the Poisson distribution assumes that
the mean and variance are equal. In reality, real data often deviate
from this assumption, wi