# Tag Archives: Python SymPy-Stats

With the help of sympy.stats.NormalGamma() method, we can create a bivariate joint random variable with multivariate Normal gamma distribution. Syntax: sympy.stats.NormalGamma(syms, mu, lamda, alpha, beta)… Read More
With the help of sympy.stats.NegativeMultinomial() method, we can create a discrete random variable with Negative Multinomial Distribution. Syntax: sympy.stats.NegativeMultinomial(syms, k, p) Parameters: syms: the symbol… Read More
With the help of sympy.stats.MultivariateT() method, we can create a joint random variable with multivariate T-distribution. Syntax: sympy.stats.MultivariateT(syms, mu, sigma, v) Parameters: syms: the symbol… Read More
With the help of sympy.stats.MultivariateEwens() method, we can create a discrete random variable with Multivariate Ewens Distribution. Syntax: sympy.stats.MultivariateEwens(syms, n, theta) Parameters: syms: the symbol… Read More
With the help of sympy.stats.MultivariateBeta() method, we can create a continuous random variable with Dirichlet/Multivariate Beta Distribution. It is a multivariate generalization of the beta… Read More
With the help of sympy.stats.Multinomial() method, we can create a discrete random variable with Multinomial Distribution. A multinomial distribution is the probability distribution of the… Read More
With the help of sympy.stats.Gamma() method, we can create a continuous random variable with a Gamma distribution. The density of the Gamma distribution is given… Read More
With the help of sympy.stats.Skellam() method, we can create a discrete random variable with a Skellam distribution.  The Skellam is the distribution of the difference… Read More
With the help of sympy.stats.Binomial() method, we can create a Finite Random Variable representing a binomial distribution.  A binomial distribution is the probability of a… Read More
In Sympy, the function Polygon.is_convex() is used to check whether the given polygon is convex or not. A polygon is said to be convex if… Read More
With the help of laplace_transform() method, we can compute the laplace transformation F(s) of f(t).    Syntax : laplace_transform(f, t, s) Return : Return the laplace… Read More
With the help of inverse_laplace_transform() method, we can compute the inverse of laplace transformation of F(s). Syntax : inverse_laplace_transform(F, s, t) Return : Return the unevaluated… Read More
With the help of fourier_transform() method, we can compute the Fourier transformation and it will return the transformed function. Fourier transformation function Syntax : fourier_transform(f,… Read More
With the help of inverse_fourier_transform() method, we can compute the inverse fourier transformation and return the unevaluated function. Inverse Fourier Transformation Syntax :  inverse_fourier_transform(F, k,… Read More
With the help of transforms.mellin_transform() method, we can compute the mellin transform F(s) of f(x). Syntax : transforms.mellin_transform(f, x, s) Return : Return the fundamental… Read More