# Tag Archives: SymPy

## Sympy stats.JointRV() in Python

With the help of sympy.stats.JointRV() method, we can get the continuous joint random variable which represents the Von Mises distribution. Syntax : sympy.stats.JointRV(name, pdf) Return… Read More »

## Sympy stats.ContinuousRV() in Python

With the help of sympy.stats.ContinuousRV() method, we can get the continuous random variable which represents the Continuous Random Variable distribution. Syntax : sympy.stats.ContinuousRV(symbol, density, set=Interval(-… Read More »

## Sympy stats.VonMises() in Python

With the help of sympy.stats.VonMises() method, we can get the continuous random variable which represents the Von Mises distribution. Syntax : sympy.stats.VonMises(name, mu, k) Where,… Read More »

## Sympy stats.WignerSemicircle() in Python

With the help of sympy.stats.WignerSemicircle() method, we can get the continuous random variable which represents the Wigner Semicircle distribution. Syntax : sympy.stats.WignerSemicircle(name, R) Where, R… Read More »

## Sympy stats.GeneralizedMultivariateLogGammaOmega() in python

With the help of sympy.stats.GeneralizedMultivariateLogGammaOmega() method, we can get the continuous joint random variable which represents the extended Generalized Multivariate Log Gamma distribution. Syntax :… Read More »

## Sympy stats.GeneralizedMultivariateLogGamma() in Python

With the help of sympy.stats.GeneralizedMultivariateLogGamma() method, we can get the continuous joint random variable which represents the Generalized Multivariate Log Gamma distribution. Syntax : GeneralizedMultivariateLogGamma(syms,… Read More »

## sympy.stats.Wald() in Python

With the help of sympy.stats.Wald() method, we can get the continuous random variable which represents the inverse gaussian distribution as well as Wald distribution by… Read More »

## sympy.stats.Weibull() in Python

With the help of sympy.stats.Weibull() method, we can get the continuous random variable which represents the Weibull distribution. Syntax : sympy.stats.Weibull(name, alpha, beta) Where, alpha… Read More »

## sympy.stats.UniformSum() in Python

With the help of sympy.stats.UniformSum() method, we can get the continuous random variable which represents the irwin-hall distribution. Syntax : sympy.stats.UniformSum(name, n) Where, n is… Read More »

## sympy.stats.Triangular() in Python

With the help of sympy.stats.Triangular() method, we can get the continuous random variable which represents the triangular distribution. Syntax : sympy.stats.Triangular(name, a, b, c) Where,… Read More »

## sympy.stats.Uniform() in Python

With the help of sympy.stats.Uniform() method, we can get the continuous random variable which represents the Uniform distribution. Syntax : sympy.stats.Uniform(name, left, right) Where, left… Read More »

## sympy.stats.ShiftedGompertz() in Python

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,… Read More »

## sympy.stats.StudentT() in Python

With the help of sympy.stats.StudentT() method, we can get the continuous random variable which represents the student’s t distribution. Syntax : sympy.stats.StudentT(name, nu) Where, nu… Read More »

## sympy.stats.Rayleigh() in Python

With the help of sympy.stats.Rayleigh() method, we can get the continuous random variable which represents the rayleigh distribution. Syntax : sympy.stats.Rayleigh(name, sigma) Where, sigma are… Read More »

## sympy.stats.PowerFunction() in Python

With the help of sympy.stats.PowerFunction() method, we can get the continuous random variable which represents the Power Function distribution. Syntax : sympy.stats.PowerFunction(name, alpha, a, b)… Read More »