sympy.stats.Gompertz() in python Last Updated : 05 Jun, 2020 Comments Improve Suggest changes Like Article Like Report With the help of sympy.stats.Gompertz() method, we can get the continuous random variable representing the Gompertz distribution. Syntax : sympy.stats.Gompertz(name, b, eta) Where, b and eta denotes the real number. Return : Return continuous random variable. Example #1 : In this example we can see that by using sympy.stats.Gompertz() method, we are able to get the continuous random variable which represents the Gompertz distribution by using this method. Python3 1=1 # Import sympy and Gompertz from sympy.stats import Gompertz, density from sympy import Symbol b = Symbol("b", integer = True, positive = True) eta = Symbol("eta", integer = True, positive = True) z = Symbol("z") # Using sympy.stats.Gompertz() method X = Gompertz("x", b, eta) gfg = density(X)(z) pprint(gfg) Output : b*z eta b*z -eta*e b*eta*e *e *e Example #2 : Python3 1=1 # Import sympy and Gompertz from sympy.stats import Gompertz, density from sympy import Symbol b = 2 eta = 4 z = 2 # Using sympy.stats.Gompertz() method X = Gompertz("x", b, eta) gfg = density(X)(z) pprint(gfg) Output : 4 8 -4*e 8*e *e Comment More infoAdvertise with us Next Article sympy.stats.Gompertz() in python J jitender_1998 Follow Improve Article Tags : Python SymPy Python SymPy-Stats Practice Tags : python Similar Reads sympy.stats.Geometric() in Python With the help of sympy.stats.Geometric() method, we can get a random variable which denotes the geometric distribution. Syntax : sympy.stats.Geometric(name, P) Where, P stands for probability Return : Return the random variable of geometric distribution. Example #1 : In this example we can see that 1 min read sympy.stats.Gumbel() in python With the help of sympy.stats.Gumbel() method, we can get the continuous random variable which represents the gumbel distribution. Syntax : sympy.stats.Gumbel(name, beta, mu, minimum=False) Where, If we set minimum is True than we can enable minimum distribution. Return : Return the continuous random 1 min read sympy.stats.Beta() in Python With the help of sympy.stats.Beta() method, we can get the continuous random variable which represents the beta distribution. Syntax : sympy.stats.Beta(name, alpha, beta) Where, alpha and beta is greater than 0. Return : Return the continuous random variable. Example #1 : In this example we can see 1 min read sympy.stats.FisherZ() in python With the help of sympy.stats.FisherZ() method, we can get the continuous random variable representing the Fisher's Z distribution. Syntax : sympy.stats.FisherZ(name, d1, d2) Where, d1 and d2 denotes the degree of freedom. Return : Return continuous random variable. Example #1 : In this example we ca 2 min read sympy.stats.Dagum() in python 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 2 min read Like