jhplot.math.num.pdf
Class Exponential

java.lang.Object
  jhplot.math.num.pdf.ContinuousDistribution
      jhplot.math.num.pdf.Exponential

All Implemented Interfaces:

Distribution

public class Exponential
extends ContinuousDistribution

The Exponential distribution (1).

References:

1. Eric W. Weisstein. "Exponential Distribution." From MathWorld--A Wolfram Web Resource. http://mathworld.wolfram.com/Exponential.html

Constructor Summary

Exponential()
Default constructor.

Exponential(double m)
Create a distribution with the given mean.

Method Summary

double	cumulativeProbability(double x) The CDF for this distribution.
double	getMean() Access the mean.
double	inverseCumulativeProbability(double p) The inverse CDF for this distribution.
void	setMean(double m) Modify the mean.

Methods inherited from class java.lang.Object

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

Constructor Detail

Exponential

public Exponential()

Default constructor. Mean is set to 1.

Exponential

public Exponential(double m)

Create a distribution with the given mean.

Parameters:

m - the mean.

Method Detail

cumulativeProbability

public double cumulativeProbability(double x)

The CDF for this distribution. This method returns P(X < x).

Specified by:

cumulativeProbability in class ContinuousDistribution

Parameters:

x - the value at which the CDF is evaluated.

Returns:

CDF for this distribution.

getMean

public double getMean()

Access the mean.

Returns:

the mean.

inverseCumulativeProbability

public double inverseCumulativeProbability(double p)

The inverse CDF for this distribution. This method returns x such that, P(X < x) = p.

Specified by:

inverseCumulativeProbability in class ContinuousDistribution

Parameters:

p - the cumulative probability.

Returns:

x

setMean

public void setMean(double m)

Modify the mean.

Parameters:

m - The new mean value.