jhplot.math.num.pdf
Class Exponential
- java.lang.Object
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- jhplot.math.num.pdf.ContinuousDistribution
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- jhplot.math.num.pdf.Exponential
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- All Implemented Interfaces:
- Distribution
public class Exponential extends ContinuousDistribution
The Exponential distribution (1).
References:
- Eric W. Weisstein. "Exponential Distribution." From MathWorld--A Wolfram Web Resource. http://mathworld.wolfram.com/Exponential.html
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Constructor Summary
Constructors Constructor and Description Exponential()
Default constructor.Exponential(double m)
Create a distribution with the given mean.
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method and Description 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.
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Constructor Detail
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Exponential
public Exponential()
Default constructor. Mean is set to 1.
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Exponential
public Exponential(double m)
Create a distribution with the given mean.- Parameters:
m
- the mean.
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Method Detail
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cumulativeProbability
public double cumulativeProbability(double x)
The CDF for this distribution. This method returns P(X < x).- Specified by:
cumulativeProbability
in classContinuousDistribution
- Parameters:
x
- the value at which the CDF is evaluated.- Returns:
- CDF for this distribution.
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getMean
public double getMean()
Access the mean.- Returns:
- the mean.
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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 classContinuousDistribution
- Parameters:
p
- the cumulative probability.- Returns:
- x
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setMean
public void setMean(double m)
Modify the mean.- Parameters:
m
- The new mean value.
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