- Function Gamma(Shape, Lowerbound, Scale)
Gamma
The function Gamma
draws a random value from a gamma distribution.
Gamma(
Shape, ! (input) numerical expression
Lowerbound, ! (optional) numerical expression
Scale ! (optional) numerical expression
)
Arguments
- Shape
A scalar numerical expression \(> 0\).
- Lowerbound
A scalar numerical expression \(>= 0\).
- Scale
A scalar numerical expression \(> 0\).
Return Value
The function
Gamma
returns a random value drawn from a gamma distribution with shape Shape, lower bound Lowerbound and scale Scale.
Note
The prototype of this function has changed with the introduction of
AIMMS 3.4. In order to run models that still use the original prototype,
the option Distribution_compatibility
should be set to
Aimms_3_0
. The original function Gamma
(alpha, Shape)
returns a random value drawn from a gamma distribution with rate
\(alpha = 1/Scale\), shape Shape and lower bound \(0\).
Graph
A graph with:
a histogram for 1.000.000 experiments of drawing from distribution
Gamma(3,0,2)
, andthe
DistributionDensity
forGamma(3,0,2)
Example
The code:
option seed := 1234 ;
_p_draw := Gamma( 3, 0, 2 ) ;
_p_pointDensity := DistributionDensity( Gamma( 3, 0, 2 ), 9 );
block where listing_number_precision := 6 ;
display _p_draw, _p_pointDensity ;
endblock ;
will produce
_p_draw := 11.206294 ;
_p_pointDensity := 0.056239 ;
in the listing file.
References
The
Gamma
distribution is discussed in full detail in Continuous Distributions of the Language Reference.