umontreal.iro.lecuyer.probdist
Class ExponentialDistFromMean

java.lang.Object
  umontreal.iro.lecuyer.probdist.ContinuousDistribution
      umontreal.iro.lecuyer.probdist.ExponentialDist
          umontreal.iro.lecuyer.probdist.ExponentialDistFromMean

All Implemented Interfaces:

Distribution

public class ExponentialDistFromMean
extends ExponentialDist

Extends the ExponentialDist class with a constructor accepting as argument the mean 1/λ instead of the rate λ.

Field Summary

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

decPrec

Constructor Summary

ExponentialDistFromMean(double mean)
Constructs a new exponential distribution with mean mean.

Method Summary

void	setMean(double mean) Calls setLambda with argument 1/mean to change the mean of this distribution.

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

barF, barF, cdf, cdf, density, density, getInstanceFromMLE, getLambda, getMean, getMean, getMLE, getParams, getStandardDeviation, getStandardDeviation, getVariance, getVariance, inverseF, inverseF, setLambda, toString

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

getXinf, getXsup, inverseBisection, inverseBrent, setXinf, setXsup

Methods inherited from class java.lang.Object

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

Constructor Detail

ExponentialDistFromMean

public ExponentialDistFromMean(double mean)

Constructs a new exponential distribution with mean mean.

Parameters:

mean - the required mean.

Method Detail

setMean

public void setMean(double mean)

Calls setLambda with argument 1/mean to change the mean of this distribution.

Parameters:

mean - the new mean.