Probability distributions
[this page  pdf  back links]
The Nematrian website contains information and analytics on
a wide range of probability distributions, including:
Discrete (univariate)
distributions

Bernoulli,
see also binomial
distribution

Binomial

Geometric,
see also negative
binomial distribution

Hypergeometric

Negative
binomial

Poisson

Uniform
(discrete)
Continuous (univariate)
distributions

Beta

Beta prime

Burr

Cauchy

Chisquared

Dagum

Degenerate

Error
function

Exponential

F

Fatigue,
also known as the BirnbaumSaunders distribution

Fréchet,
see also generalised extreme
value (GEV) distribution

Gamma

Generalised
extreme value (GEV)

Generalised
gamma

Generalised
inverse Gaussian

Generalised
Pareto (GDP)

Gumbel,
see also generalised
extreme value (GEV) distribution

Hyperbolic
secant

Inverse
gamma

Inverse
Gaussian

Johnson SU

Kumaraswamy

Laplace

Lévy

Logarithmic

Logistic

Loglogistic

Lognormal

Nakagami

Noncentral
chisquared

Noncentral
t

Normal

Pareto

Power
function

Rayleigh

Reciprocal

Rice

Student’s t

Triangular

Uniform

Weibull,
see also generalised
extreme value (GEV) distribution
Continuous multivariate
distributions

Inverse
Wishart
Copulas (a copula is a special
type of continuous multivariate distribution)

Clayton

Comonotonicity
 Countermonotonicity
(only valid for , where is the dimension
of the input)

Frank

Generalised
Clayton

Gumbel

Gaussian

Independence

t
The Nematrian website functions for fitting univariate
distributions, creating random variates and calculating moments etc. now cover
most of the above probability distributions, see ProbabilityDistributionsFunctions.
In many cases these functions can cater for the traditional (textbook) forms of
these distributions and variants that include additional shift and
scale parameters.
NAVIGATION LINKS
Contents  Next