sympy.stats.GammaInverse() in python
Last Updated :
05 Jun, 2020
With the help of sympy.stats.GammaInverse()
method, we can get the continuous random variable representing the inverse gamma distribution.
Syntax : sympy.stats.GammaInverse(name, a, b)
Where, a and b denotes real number.
Return : Return continuous random variable.
Example #1 :
In this example we can see that by using sympy.stats.GammaInverse()
method, we are able to get the continuous random variable which represents the inverse gamma distribution by using this method.
from sympy.stats import GammaInverse, density
from sympy import Symbol
a = Symbol( "a" , integer = True , positive = True )
b = Symbol( "b" , integer = True , positive = True )
z = Symbol( "z" )
X = GammaInverse( "x" , a, b)
gfg = density(X)(z)
pprint(gfg)
|
Output :
-b
—
a -a – 1 z
b *z *e
—————
Gamma(a)
Example #2 :
from sympy.stats import GammaInverse, density
from sympy import Symbol
a = 4
b = 3
z = 2
X = GammaInverse( "x" , a, b)
gfg = density(X)(z)
pprint(gfg)
|
Output :
-3/2
27*e
——–
64
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