With the help of sympy.stats.ShiftedGompertz() method, we can get the continuous random variable which represents the shifted gompertz distribution.
Syntax :
sympy.stats.ShiftedGompertz(name, b, eta)
Where, b and eta are real number and b, eta > 0.Return : Return the continuous random variable.
Example #1 :
In this example we can see that by using sympy.stats.ShiftedGompertz() method, we are able to get the continuous random variable representing shifted gompertz distribution by using this method.
# Import sympy and ShiftedGompertz from sympy.stats import ShiftedGompertz, density
from sympy import Symbol, pprint
z = Symbol("z")
b = Symbol("b", positive = True)
eta = Symbol("eta", positive = True)
# Using sympy.stats.ShiftedGompertz() method X = ShiftedGompertz("x", b, eta)
gfg = density(X)(z)
pprint(gfg) |
Output :
-b*z
/ / -b*z\ \ -b*z -eta*e
b*\eta*\1 – e / + 1/*e *e
Example #2 :
# Import sympy and ShiftedGompertz from sympy.stats import ShiftedGompertz, density
from sympy import Symbol, pprint
z = 1.1
b = 2
eta = 3
# Using sympy.stats.ShiftedGompertz() method X = ShiftedGompertz("x", b, eta)
gfg = density(X)(z)
pprint(gfg) |
Output :
0.582907142397210