Uses of Class
uk.ac.soton.simulation.jsit.core.Distribution

Packages that use Distribution

Package	Description
uk.ac.soton.simulation.jsit.core

Uses of Distribution in uk.ac.soton.simulation.jsit.core

Classes in uk.ac.soton.simulation.jsit.core with type parameters of type Distribution

Modifier and Type	Class and Description
class	DistLookupByEnums<D extends Distribution> A class for storing distributions which can be looked-up via a set of enum-based dimensions.

Subclasses of Distribution in uk.ac.soton.simulation.jsit.core

Modifier and Type	Class and Description
class	DistBernoulli JSIT representation of a Bernoulli distribution.
class	DistCustomCategorical<C extends java.lang.Enum<C>> JSIT representation of a custom categorical distribution.
class	DistExponential JSIT representation of an exponential distribution.
class	DistFixedContinuous JSIT representation of a 'dummy' continuous distribution to return a fixed value.
class	DistGeometric JSIT representation of a (non-shifted) geometric distribution which models the number of failures before a success in independent trials with a success probability p.
class	DistNegativeBinomial JSIT representation of a negative binomial distribution.
class	DistNormal JSIT representation of a normal distribution.
class	DistPoisson JSIT representation of a Poisson distribution.
class	DistributionCategorical<C extends java.lang.Enum<C>> JSIT abstract representation of all categorical distributions.
class	DistributionContinuous JSIT abstract representation of all continuous probability distributions.
class	DistributionDiscrete JSIT abstract representation of all discrete probability distributions.
class	DistTriangular JSIT representation of a triangular distribution.
class	DistUniform JSIT representation of the continuous uniform distribution.
class	DistUniformDiscrete<C extends java.lang.Enum<C>> JSIT representation of the discrete uniform distribution.
class	DistWeibull JSIT representation of a Weibull distribution.

Methods in uk.ac.soton.simulation.jsit.core that return Distribution

Modifier and Type	Method and Description
Distribution	Distribution.createRegisteredCopy() Create a registered copy of this distribution; i.e., one which will be subject to the same settings as the one it was copied from, and which has no separate registered ID.
Distribution	DistWeibull.createUnregisteredCopy() Create an unregistered copy of this distribution.
Distribution	DistUniformDiscrete.createUnregisteredCopy() Create an unregistered copy of this distribution.
Distribution	DistUniform.createUnregisteredCopy() Create an unregistered copy of this distribution.
Distribution	DistTriangular.createUnregisteredCopy() Create an unregistered copy of this distribution.
abstract Distribution	Distribution.createUnregisteredCopy() Create an unregistered copy of this distribution, which will then need registering separately to be usable (and will be subject to any settings for the owner and ID it is registered with).
Distribution	DistPoisson.createUnregisteredCopy() Create an unregistered copy of this distribution.
Distribution	DistNormal.createUnregisteredCopy() Create an unregistered copy of this distribution.
Distribution	DistNegativeBinomial.createUnregisteredCopy() Create an unregistered copy of this distribution.
Distribution	DistGeometric.createUnregisteredCopy() Create an unregistered copy of this distribution.
Distribution	DistFixedContinuous.createUnregisteredCopy() Create an unregistered copy of this distribution.
Distribution	DistExponential.createUnregisteredCopy() Create an unregistered copy of this distribution.
Distribution	DistCustomCategorical.createUnregisteredCopy() Create an unregistered copy of this distribution.
Distribution	DistBernoulli.createUnregisteredCopy() Create an unregistered copy of this distribution.