ikr.simlib.distributions.discrete.transform

Class DiscreteBoundedDistribution

java.lang.Object

ikr.simlib.distributions.Distribution

ikr.simlib.distributions.discrete.DiscreteDistribution

ikr.simlib.distributions.discrete.transform.DiscreteBoundedDistribution

All Implemented Interfaces:

ReflectionConstructable, ReflectionConstructable3<SimNode,Parameters,RandomNumberGenerator>

public class DiscreteBoundedDistribution
extends DiscreteDistribution

Discrete Bounded Distribution

Meaning:	Discrete analogon to the continuous bounded distribution, whereby the upper and lower limits each belong to the value range of the random variable \(X\).
Parameters:	base distribution \(q_i\) with the corresponding DF \(Q_i\) lower limit \(b_l\) (integer number) upper limit \(b_u\) (integer number) boolean value resampling
Distribution:	\(P(X=i) = p_i = \begin{cases} \frac{q_i}{Q_{b_u}-Q_{b_i}} &\mbox{for } b_l \le i \le b_u \\ 0 &\mbox{else} \end{cases}\)
Parser example:	[...].Distribution = DiscreteBoundedDistribution [...].Distribution.BaseDist = Binomial [...].Distribution.BaseDist.Mean = 10.0 [...].Distribution.BaseDist.Variance = 5.0 [...].Distribution.LowerBound = 0 # optional, default 0 [...].Distribution.UpperBound = 20 # optional, def. inf. [...].Distribution.resampling = false # optional, def. tr.

Field Summary

Fields

Modifier and Type	Field and Description
DiscreteDistribution	baseDist
int	lowerBound
boolean	resampling
int	upperBound

Fields inherited from class ikr.simlib.distributions.Distribution

rng

Fields inherited from interface ikr.simlib.parameters.reflection.ReflectionConstructable

CREATE_INSTANCE_METHOD_NAME

Constructor Summary

Constructors

Constructor and Description
DiscreteBoundedDistribution(DiscreteDistribution baseDist)
DiscreteBoundedDistribution(DiscreteDistribution baseDist, int lowerBound)
DiscreteBoundedDistribution(DiscreteDistribution baseDist, int lowerBound, int upperBound)
DiscreteBoundedDistribution(DiscreteDistribution baseDist, int lowerBound, int upperBound, boolean resampling)

Method Summary

Methods

Modifier and Type	Method and Description
static DiscreteBoundedDistribution	createInstance(SimNode ownNode, Parameters pars, RandomNumberGenerator rng) as required by ReflectionConstructable
int	next() Create random numbers

Methods inherited from class ikr.simlib.distributions.Distribution

getDefaultRNG, getRandomNumberGenerator, reset

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

baseDist

public final DiscreteDistribution baseDist

lowerBound

public final int lowerBound

upperBound

public final int upperBound

resampling

public final boolean resampling

Constructor Detail

DiscreteBoundedDistribution

public DiscreteBoundedDistribution(DiscreteDistribution baseDist,
                           int lowerBound,
                           int upperBound,
                           boolean resampling)

DiscreteBoundedDistribution

public DiscreteBoundedDistribution(DiscreteDistribution baseDist,
                           int lowerBound,
                           int upperBound)

DiscreteBoundedDistribution

public DiscreteBoundedDistribution(DiscreteDistribution baseDist,
                           int lowerBound)

DiscreteBoundedDistribution

public DiscreteBoundedDistribution(DiscreteDistribution baseDist)

Method Detail

createInstance

public static DiscreteBoundedDistribution createInstance(SimNode ownNode,
                                         Parameters pars,
                                         RandomNumberGenerator rng)

as required by ReflectionConstructable

next

public int next()

Description copied from class: DiscreteDistribution

Create random numbers

Specified by:

next in class DiscreteDistribution