Uses of Interface
org.ojalgo.random.Distribution

Packages that use Distribution

Package	Description
org.ojalgo.random
org.ojalgo.random.process

Uses of Distribution in org.ojalgo.random

Subinterfaces of Distribution in org.ojalgo.random

Modifier and Type	Interface and Description
interface	ContinuousDistribution
interface	DiscreteDistribution

Classes in org.ojalgo.random that implement Distribution

Modifier and Type	Class and Description
class	Binomial The frequency in aCount indepedent trials, each with probability aProbability, has a binomial distribution.
class	Cauchy https://en.wikipedia.org/wiki/Cauchy_distribution
class	Deterministic
class	Erlang Distribution of the sum of aCount random variables with an exponential distribution with parameter aLambda.
class	Exponential Distribution of length of life when no aging.
class	Gamma Distribution of the sum of aCount random variables with an exponential distribution with parameter aLambda.
class	Geometric The number of required trials until an event with probability aProbability occurs has a geometric distribution.
class	LogNormal A continuous distribution in which the logarithm of a variable has a normal distribution.
class	Normal Under general conditions, the sum of a large number of random variables is approximately normally distributed (the central limit theorem).
class	Poisson The Poisson distribution is a discrete probability distribution that expresses the probability of a given number of events occurring in a fixed interval of time and/or space if these events occur with a known average rate and independently of the time since the last event.
class	RandomNumber RandomNumber
class	TDistribution
class	Uniform Certain waiting times.
class	Weibull Useful as length of life distribution in reliability theory.

Uses of Distribution in org.ojalgo.random.process

Classes in org.ojalgo.random.process with type parameters of type Distribution

Modifier and Type	Interface and Description
interface	RandomProcess<D extends Distribution> A random/stochastic process is a collection of random variables representing the evolution of some random value over "time".