Extreme. Statistics. Distributions Namespace
The Extreme.Statistics.Distributions namespace contains classes that represent statistical probability distributions.
Classes
| Arcsine | Represents the arcsine distribution. |
| Bernoulli | Represents the Bernoulli distribution. |
| Beta | Represents the Beta distribution. |
| Binomial | Represents the binomial distribution. |
| Cauchy | Represents the Cauchy distribution. |
| Chi | Represents a chi-squared distribution. |
| Continuous | Represents a continuous probability distribution. |
| Continuous | Represents a continuous uniform distribution over an interval. |
| Dirichlet | Represents a Dirichlet distribution. |
| Discrete | Represents a discrete probability distribution. |
| Discrete | Represents a probability distribution over a countable set of objects. |
| Discrete | Represents a discrete uniform distribution over an interval. |
| Distribution | Represents a statistical distribution. |
| Erlang | Represents an Erlang distribution. |
| Exponential | Represents an exponential distribution. |
| FDistribution | Represents the F distribution. |
| Gamma | Represents the Gamma distribution. |
| Gaussian | Represents a multivariate distribution that is a mixture of multivariate normal distributions. |
| Generalized | Represents the Generalized Pareto distribution. |
| Generic | Represents a discrete probability distribution with arbitrary probabilities. |
| Geometric | Represents the geometric distribution. |
| Gumbel | Represents the Gumbel distribution. |
| Hyperbolic | Represents the hyperbolic distribution. |
| Hypergeometric | Represents a hypergeometric distribution. |
| Inverse | Represents an inverse chi-squared distribution. |
| Inverse | Represents the inverse Gamma distribution. |
| Inverse | Represents the inverse Gaussian distribution. |
| Inverse | Represents the inverse inverse Weibull distribution or Fréchet distribution. |
| Johnson | Represents the Johnson distribution. |
| Laplace | Represents a Laplace distribution. |
| Logarithmic | Represents the logarithmic series distribution. |
| Logistic | Represents the logistic distribution.. |
| Log | Represents the log-logistic distribution. |
| Lognormal | Represents the Log Normal distribution. |
| Maxwell | Represents the Maxwell distribution. |
| Multivariate | Represents a multivariate continuous probability distribution. |
| Multivariate | Represents a multivariate normal distribution. |
| Negative | Represents the negative binomial distribution. |
| Non | Represents the non-central Beta distribution. |
| Non | Represents a non-central chi-squared distribution. |
| Non | Represents the non-central F distribution. |
| Non | Represents the non-central Student t distribution. |
| Normal | Represents a normal distribution. |
| Normal | Represents the normal-inverse Gaussian distribution. |
| Pareto | Represents the Pareto distribution. |
| Pert | Represents a PERT distribution. |
| Piecewise | Represents a continuous distribution with a piecewise linear distribution function. |
| Poisson | Represents a Poisson distribution. |
| Random | Contains extensions to random number functions that use statistical distributions. |
| Rayleigh | Represents the Rayleigh distribution. |
| Student | Represents the Student t distribution. |
| Transformed | Represents the transformed Beta distribution. |
| Transformed | Represents the transformed Gamma distribution. |
| Triangular | Represents the triangular distribution. |
| Truncated | Represents a continuous probability distribution restricted to a portion of its domain. |
| Weibull | Represents the Weibull distribution. |
| Wishart | Represents a multivariate Wishart distribution. |
Enumerations
| Estimation | Represents the possible methods for estimating the parameters of a distribution. |
| Johnson | Enumerates the types of the Johnson system of probability distributions. |
| Pareto | Enumerates the variants of the Pareto distribution. |