Poisson Distribution |
(discrete probab dist for equations) |
Usage: |
PoissonDist (k, m) |
Definition: |
exp (-m) * m^k / k! = exp (-m + k * log (m) - log (k!)) |
Required: |
m > 0 k is an integer |
Support: |
k ³ 0 |
Moments: |
mean = m s^2 = m g1 = 1 / sqrt (m) b2 = 3 + 1/m
|
If events occur by a = 4 && typeof(BSPSPopupOnMouseOver) == 'function') BSPSPopupOnMouseOver(event);" class="BSSCPopup" onclick="BSSCPopup('X_PU_Poisson_process.htm');return false;">Poisson process, then the number of events that occur in a fixed time interval is described by the Poisson distribution (where m is the average number of events per unit time).