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 = 1.1b = 2eta = 3  # Using sympy.stats.ShiftedGompertz() method X = ShiftedGompertz("x", b, eta) gfg = density(X)(z)   pprint(gfg) |
Output :
0.582907142397210
