theory, the inverse Gaussian distribution (also known as the Wald distribution) is a two-parameter family of continuous probability distributions with support...

statistics, the generalized inverse Gaussian distribution (GIG) is a three-parameter family of continuous probability distributions with probability...

The generalized normal distribution (GND) or generalized Gaussian distribution (GGD) is either of two families of parametric continuous probability distributions...

Gompertz distribution The half-normal distribution The Hartman–Watson distribution Hotelling's T-squared distribution The inverse Gaussian distribution, also...

The normal-inverse Gaussian distribution (NIG, also known as the normal-Wald distribution) is a continuous probability distribution that is defined as...

gamma distribution is a special case of the generalized gamma distribution, the generalized integer gamma distribution, and the generalized inverse Gaussian...

theory and statistics, a normal distribution or Gaussian distribution is a type of continuous probability distribution for a real-valued random variable...

variance-mean mixture where the mixing distribution is the generalized inverse Gaussian distribution (GIG). Its probability density function (see the box)...

statistics, the multivariate normal distribution, multivariate Gaussian distribution, or joint normal distribution is a generalization of the one-dimensional...

Tweedie distributions are a family of probability distributions which include the purely continuous normal, gamma and inverse Gaussian distributions, the...

Cuan (2015). "Global Padé approximations of the generalized Mittag-Leffler function and its inverse". Fractional Calculus and Applied Analysis. 18 (6):...

Equivalently, this distribution results from compounding a Gaussian distribution with a scaled-inverse-chi-squared distribution with parameters ν {\displaystyle...

value distribution Generalized gamma distribution Generalized Gaussian distribution Generalised hyperbolic distribution Generalized inverse Gaussian distribution...

for large values of λ include rejection sampling and using Gaussian approximation. Inverse transform sampling is simple and efficient for small values...

distribution Scaled inverse chi-squared distribution Gamma distribution Generalized chi-squared distribution Noncentral chi-squared distribution Pearson's chi-squared...

The q-Gaussian is a probability distribution arising from the maximization of the Tsallis entropy under appropriate constraints. It is one example of a...

with any distribution: for be any cumulative distribution function F, let Finv be the generalized left inverse of F , {\displaystyle F,} also known in this...

operated by the United States Department of Defense Generalized inverse Gaussian distribution, a distribution in probability theory Gig Gangel (born 1958),...

In statistics, the inverse Wishart distribution, also called the inverted Wishart distribution, is a probability distribution defined on real-valued positive-definite...

The generalized gamma distribution is a continuous probability distribution with two shape parameters (and a scale parameter). It is a generalization...

theory and statistics, the generalized chi-squared distribution (or generalized chi-square distribution) is the distribution of a quadratic function of...

variables has a multivariate normal distribution. The distribution of a Gaussian process is the joint distribution of all those (infinitely many) random...

In statistics, a generalized linear model (GLM) is a flexible generalization of ordinary linear regression. The GLM generalizes linear regression by allowing...

called the harmonic distribution or harmonic law. The harmonic law is a special case of the generalized inverse Gaussian distribution family when γ = 0...

The term generalized logistic distribution is used as the name for several different families of probability distributions. For example, Johnson et al...

In mathematics, a Gaussian function, often simply referred to as a Gaussian, is a function of the base form f ( x ) = exp ⁡ ( − x 2 ) {\displaystyle f(x)=\exp(-x^{2})}...

probability distribution with density function f {\displaystyle f} is the Fourier transform of f . {\displaystyle f.} The density function is then the inverse Fourier...

normal-inverse-gamma distribution (or Gaussian-inverse-gamma distribution) is a four-parameter family of multivariate continuous probability distributions....

Distributions, also known as Schwartz distributions are a kind of generalized function in mathematical analysis. Distributions make it possible to differentiate...

the log-gamma distribution; the Fréchet distribution; the q-Gaussian distribution; the log-Cauchy distribution, sometimes described as having a "super-heavy...