Description
A random variable
possesses a Gamma distribution with parameters
> 0,
> 0,
if it is continuous, takes only positive values, and its density
function is of the form
,
where is
Euler's gamma function.
The following picture shows graphs of the
density function
(bound to the left axis)
and CDF
(bound to the right axis) of the Gamma distribution with parameters
= 2,
= 2.
Characteristics
The following table contains formulae for calculation of
characteristics of a Gamma distribution.
* CDF of a Gamma distribution does not possess closed form expression.
Simulation
Simulation of a Gamma random variable with parameters
,
for integer values of
> 0
may be made by
,
where are
independent exponential random variables with parameter
1 / .
Simulation of exponential variables is described
here.
Sign guest book     
View guest book
|