Poisson Derivation 1
From Qwiki
A conceptually simple method for deriving the Poisson Distribution is based on the continuous limit of the Binomial Distribution. Let's consider very small but not quite infinitesimal time intervals Δ t, and suppose we have N of these intervals partitioning a large interval T = N Δt. In each interval, the probability of an event is (approximately) λ Δt, with the approximation getting better and better as Δt goes to 0. Then for this discrete case, the probability of observing n events over the whole interval is given by the Binomial Distribution:
Using Stirling's formula
The Poisson distribution can be found by taking the limit
and using Stirling's approximation
(which is exact in the large N limit):
A variation on this theme that avoids the need for Stirling's formula
The following variation on this theme avoids Stirling's formula:
(it is because n and λT do not change as N → ∞ that the factor (λT)n/n! can be taken out from within the "lim")
Now observe that the limits of the expressions over the first and third underbraces are equal to 1, and the limit of the expression over the second underbrace is e−λt. Therefore the limit we seek is just

