With the help of sympy.stats.Gamma() method, we can create a continuous random variable with a Gamma distribution. The density of the Gamma distribution is given by
with x in [0, 1].
Syntax: sympy.stats.Gamma(name, k, theta) Parameters: k: real number, k>0 theta: real number, theta>0 Returns: a continuous random variable with a Gamma distribution.
Example #1 :
Python3
# import sympy, Gamma, density, Symbol, pprint from sympy.stats import Gamma, density
from sympy import Symbol, pprint
k = Symbol( "k" , positive = True )
theta = Symbol( "theta" , positive = True )
z = Symbol( "z" )
# using sympy.stats.Gamma() method X = Gamma( "x" , k, theta)
gamVar = density((X)(z))
pprint(gamVar) |
Output:
-z ----- -k k - 1 theta theta *z *e --------------------- Gamma(k)
Example #2 :
Python3
# import sympy, Gamma, density, Symbol, pprint from sympy.stats import Gamma, density
from sympy import Symbol, pprint
z = Symbol( "z" )
# using sympy.stats.Gamma() method X = Gamma( "x" , 1 / 3 , 45 )
gamVar = density((X)(z))
pprint(gamVar) |
Output:
-z --- 3 ____ 45 \/ 75 *e ------------------ 2/3 15*z *Gamma(1/3)