Continuous Distributions

Numerics.NET provides classes that implement the most common probability distributions. The classes that implement continuous probability distributions reside in the Numerics.NET.Statistics.Distributions namespace.

Continuous distribution classes provide three major features: access to the moments (mean, variance, etc.), access to the various distribution functions (PDF, CDF), and the ability to generate random samples from the distribution.

• About continuous distributions
• The arcsine distribution
• The beta distribution
• The Cauchy Distribution
• The chi square distribution
• The Erlang distribution
• The exponential distribution
• The F distribution
• The gamma distribution
• The generalized Pareto distribution
• The Gumbel distribution
• The hyperbolic Distribution
• The inverse chi square Distribution
• The inverse gamma Distribution
• The inverse Gaussian distribution
• The inverse Weibull distribution
• The Johnson distributions
• The Laplace distribution
• The logistic distribution
• The log-logistic distribution
• The lognormal distribution
• The Maxwell distribution
• The non-central beta distribution
• The non-central chi square distribution
• The non-central F distribution
• The non-central student t distribution
• The normal distribution
• The normal inverse Gaussian distribution
• The Pareto distribution
• The Rayleigh distribution
• The student t distribution
• The transformed beta distribution
• The transformed gamma distribution
• The triangular distribution
• The continuous uniform distribution
• The Weibull distribution