jbil.rv
Class IntIntervalDist

java.lang.Object
  umontreal.iro.lecuyer.probdist.DiscreteDistributionInt
      jbil.rv.IntIntervalDist

All Implemented Interfaces:

umontreal.iro.lecuyer.probdist.Distribution

public class IntIntervalDist
extends umontreal.iro.lecuyer.probdist.DiscreteDistributionInt

Distribution for an integer-valued r.v. taking values in a range l,l+1,...,l+W-1 with probabilities p_0,...,p_{W-1}.

Author:

Paulo G. S. da Fonseca

Field Summary

Fields inherited from class umontreal.iro.lecuyer.probdist.DiscreteDistributionInt

EPSILON

Constructor Summary

IntIntervalDist(int lowerLimit, double[] weights)
Creates a distribution for an integer-valued r.v.

Method Summary

double	cdf(int x)
double	getMean()
double[]	getParams() Returns the array {lowerLimit, weights[0],...,weights[W-1]}
double	getStandardDeviation()
double	getVariance()
double	prob(int x)

Methods inherited from class umontreal.iro.lecuyer.probdist.DiscreteDistributionInt

barF, barF, cdf, inverseF, inverseFInt

Methods inherited from class java.lang.Object

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

Constructor Detail

IntIntervalDist

public IntIntervalDist(int lowerLimit,
                       double[] weights)

Creates a distribution for an integer-valued r.v. taking values in the range lowerLimit, lowerLimit+1,..,lowerLimit+W-1, where W is the length of the weights vector. This distribution is so that P(X=lowerLimit+x)=weights[x]/sum(weights) for x=0,...,W-1 and 0 otherwise. The weights[] array must contain only non-negative values.

Parameters:

lowerLimit - Lower limit of the r.v. domain

weights - Weights vector containg the relative weight of the values lowerLimit, lowerLimit+1,..

Method Detail

cdf

public double cdf(int x)

Specified by:

cdf in class umontreal.iro.lecuyer.probdist.DiscreteDistributionInt

prob

public double prob(int x)

Specified by:

prob in class umontreal.iro.lecuyer.probdist.DiscreteDistributionInt

getMean

public double getMean()

getParams

public double[] getParams()

Returns the array {lowerLimit, weights[0],...,weights[W-1]}

getStandardDeviation

public double getStandardDeviation()

getVariance

public double getVariance()