ikr.simlib.distributions.discrete

Class DiscreteGeneralDistribution

java.lang.Object

ikr.simlib.distributions.Distribution

ikr.simlib.distributions.discrete.DiscreteDistribution

ikr.simlib.distributions.discrete.DiscreteGeneralDistribution

All Implemented Interfaces:

ReflectionConstructable, ReflectionConstructable3<SimNode,Parameters,RandomNumberGenerator>

public class DiscreteGeneralDistribution
extends DiscreteDistribution

General Discrete Distribution

Meaning:	The first $n$ values $p_i (i = 0, ... , n-1 )$ of the distribution are defined separately
Parameters:	single probabilities $p_i (0 \le p_i \le 1 )$
Distribution:	$P(X=i) = \begin{cases} p_i &\mbox{for } 0 \le i < n \\ 0 & \mbox{else } \end{cases}$
Expected value:	$E[X]=\sum\limits_{ i=0 }^{ n-1 } p_i \cdot i$
Variance:	$VAR[X]=\sum\limits_{ i=0 }^{ n-1 } p_i \cdot i^2-(E[X])^2$
Coefficient of variation:	$c_T=\frac{ \sqrt{ VAR[X] } }{ E[X] }$
Generating func.:	$G(z)=\sum\limits_{ i=0 }^{ n-1 } p_i \cdot z^i$
Parser example:	[...].Distribution = ikr.simlib.distributions.discrete.DiscreteGeneralDistribution [...].Distribution.Data = [ 0.1 0.2 0.1 0.4 0.2 ]

Field Summary

Fields

Modifier and Type	Field and Description
ProbabilityVector	vector

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
DiscreteGeneralDistribution(double[] probVector)
DiscreteGeneralDistribution(double[] probVector, RandomNumberGenerator rng)
DiscreteGeneralDistribution(java.util.List<java.lang.Double> probVector)
DiscreteGeneralDistribution(java.util.List<java.lang.Double> probVector, RandomNumberGenerator rng)

Method Summary

Methods

Modifier and Type	Method and Description
static DiscreteGeneralDistribution	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

vector

public final ProbabilityVector vector

Constructor Detail

DiscreteGeneralDistribution

public DiscreteGeneralDistribution(double[] probVector,
                           RandomNumberGenerator rng)

DiscreteGeneralDistribution

public DiscreteGeneralDistribution(double[] probVector)

DiscreteGeneralDistribution

public DiscreteGeneralDistribution(java.util.List<java.lang.Double> probVector,
                           RandomNumberGenerator rng)

DiscreteGeneralDistribution

public DiscreteGeneralDistribution(java.util.List<java.lang.Double> probVector)

Method Detail

createInstance

public static DiscreteGeneralDistribution 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