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sympy.stats.Dagum() in python

  • Last Updated : 05 Jun, 2020

With the help of sympy.stats.Dagum() method, we can get the continuous random variable representing the dagum distribution.

Syntax : sympy.stats.Dagum(name, p, a, b)
Where, p, a and b are real number greater than 0.
Return : Return continuous random variable.

Example #1 :
In this example we can see that by using sympy.stats.Dagum() method, we are able to get the continuous random variable which represents the Dagum distribution by using this method.




# Import sympy and Dagum
from sympy.stats import Dagum, density
from sympy import Symbol
  
p = Symbol("p", integer = True, positive = True)
a = Symbol("a", integer = True, positive = True)
b = Symbol("b", integer = True, positive = True)
z = Symbol("z")
  
# Using sympy.stats.Dagum() method
X = Dagum("x", p, a, b)
gfg = density(X)(z)
  
pprint(gfg)

Output :

-p – 1
a*p / a \
/z\ |/z\ |
a*p*|-| *||-| + 1|
\b/ \\b/ /
—————————
z

Example #2 :




# Import sympy and Dagum
from sympy.stats import Dagum, density
from sympy import Symbol
  
p = 3
a = 2
b = 5
z = 0.4
  
# Using sympy.stats.Dagum() method
X = Dagum("x", p, a, b)
gfg = density(X)(z)
  
pprint(gfg)

Output :

3.83308692944853e-6


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