Numerics. NET. Statistics. Distributions Namespace
The Numerics.NET.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 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
Distribution | Enumerates the capabilities of a probability distribution. |
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. |