IRPact_modellierung.distributions

Class BoundedBinomialDistribution

java.lang.Object

IRPact_modellierung.distributions.Distribution

IRPact_modellierung.distributions.UnivariateDistribution

IRPact_modellierung.distributions.DiscreteDistribution

IRPact_modellierung.distributions.BoundedDiscreteDistribution

IRPact_modellierung.distributions.BoundedBinomialDistribution

public class BoundedBinomialDistribution
extends BoundedDiscreteDistribution

Class that models a bounded binomial distribution using the cern.jet.random library for binomial distributions. Describes the distribution to derive an integer number of successes from a number of independent trials (Bernoulli experiments) with a success probability p. Drawn values will be cut off until they fall within the bounds [lowerBounds,upperBounds]

Field Summary

Fields inherited from class IRPact_modellierung.distributions.Distribution

name

Constructor Summary

Constructors

Constructor and Description
BoundedBinomialDistribution(java.lang.String name, double lowerBound, double upperBound, int n, double p) Generates the distribution for a fixed number of trials n with a success probability p.
BoundedBinomialDistribution(java.lang.String name, int n, double p) Generates the distribution for a fixed number of trials n with a success probability p.

Method Summary

Modifier and Type	Method and Description
double	drawValue() Draws a value from the distribution randomly through returning the value for which the cumulative distribution of this Binomial distribution corresponds to a value drawn from a normal distribution
int	getN() Reset the numbers of independent trails used by this distribution
double	getP()

Methods inherited from class IRPact_modellierung.distributions.BoundedDiscreteDistribution

draw, getLowerBound, getUpperBound, isLowerBoundSet, isUpperBoundSet

Methods inherited from class IRPact_modellierung.distributions.Distribution

getName, toString

Methods inherited from class java.lang.Object

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

Constructor Detail

BoundedBinomialDistribution

public BoundedBinomialDistribution(java.lang.String name,
                                   double lowerBound,
                                   double upperBound,
                                   int n,
                                   double p)
                            throws java.lang.IllegalArgumentException

Generates the distribution for a fixed number of trials n with a success probability p. Provides the possibility to provide upper and lower bounds that cut off the probability, skewing the probability distribution!!

Parameters:

name - Name of the distribution to model (will be prefixed by Binomial_Distribution)

lowerBound - the lower cutoff of the distribution (distribution will not generate values smaller than this)

upperBound - the upper cutoff of the distribution (distribution will not generate values larger than this)

n - The number of tries / independent trials of Bernoulli experiments

p - probability of success for each Bernoulli experiment

Throws:

java.lang.IllegalArgumentException - Will be thrown when parameters are illegal (n negative or p not in unit interval ([0,1]))

BoundedBinomialDistribution

public BoundedBinomialDistribution(java.lang.String name,
                                   int n,
                                   double p)
                            throws java.lang.IllegalArgumentException

Generates the distribution for a fixed number of trials n with a success probability p. Bounds of the distribution are set to 0 and n.

Parameters:

name - Name of the distribution to model (will be prefixed by Binomial_Distribution)

n - The number of tries / independent trials of Bernoulli experiments

p - probability of success for each Bernoulli experiment

Throws:

java.lang.IllegalArgumentException - Will be thrown when parameters are illegal (n negative or p not in unit interval ([0,1]))

Method Detail

drawValue

public double drawValue()

Draws a value from the distribution randomly through returning the value for which the cumulative distribution of this Binomial distribution corresponds to a value drawn from a normal distribution

Specified by:

drawValue in class BoundedDiscreteDistribution

Returns:

integer value in [0:n] drawn with the probability of the binomial distribution

getN

public int getN()

Reset the numbers of independent trails used by this distribution

Parameters:

n - number of trials corresponding to this distribution replacing current number

getP

public double getP()