Template:Probability distributions

	Probability distributions
	Univariate	Multivariate
Discrete:	Bernoulli \| binomial \| Boltzmann \| compound Poisson \| degenerate \| degree \| Gauss-Kuzmin \| geometric \| hypergeometric \| logarithmic \| negative binomial \| parabolic fractal \| Poisson \| Rademacher \| Skellam \| uniform \| Yule-Simon \| zeta \| Zipf \| Zipf-Mandelbrot	Ewens \| multinomial
Continuous:	Beta \| Beta prime \| Cauchy \| chi-square \| exponential \| exponential power \| F \| fading \| Fisher's z \| Fisher-Tippett \| Gamma \| generalized extreme value \| generalized hyperbolic \| generalized inverse Gaussian \| Hotelling's T-square \| hyperbolic secant \| hyper-exponential \| hypoexponential \| inverse chi-square \| inverse gaussian \| inverse gamma \| Kumaraswamy \| Landau \| Laplace \| Lévy \| Lévy skew alpha-stable \| logistic \| log-normal \| Maxwell-Boltzmann \| Maxwell speed \| normal (Gaussian) \| Pareto \| Pearson \| polar \| raised cosine \| Rayleigh \| relativistic Breit-Wigner \| Rice \| Student's t \| triangular \| type-1 Gumbel \| type-2 Gumbel \| uniform \| Voigt \| von Mises \| Weibull \| Wigner semicircle	Dirichlet \| matrix normal \| multivariate normal \| Wigner quasi \| Wishart
Miscellaneous:	Cantor \| conditional \| exponential family \| infinitely divisible \| location-scale family \| marginal \| maximum entropy \| phase-type \| posterior \| prior \| quasi \| sampling