A probability distribution may be modelled by a Poisson distribution if events occur randomly at a constant average rate,
and each occurrence of each event is independent of every other occurrence. On top of this, events may never occur in pairs, so that two events occur at the same time.
If a type of event occurs at the rate
then in a small interval of length
we have
so that![]()
Suppose events occur and obey a probability distribution
as described above, then
is a Poisson distribution with parameter![]()
Let
denote no events in the time interval
then
![]()
Therefore
Let
to give![]()
Integration gives![]()
so that![]()
In general![]()
![]()
So
As
we obtain![]()
Now prove by induction.
Assume
and use from above
as
Now multiply by the integrating factor
to give

Integration now gives