Risk theory Decision-making
under uncertainty

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.

Graph of gamma density and CDF

Characteristics

The following table contains formulae for calculation of characteristics of a Gamma distribution.

Density function
CDF*
Expectation
Standard deviation
Variance
Asymmetry
* 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.

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