jhplot.math.num.pdf

Class Weibull

java.lang.Object

jhplot.math.num.pdf.ContinuousDistribution

jhplot.math.num.pdf.Weibull

All Implemented Interfaces:

Distribution

public class Weibull
extends ContinuousDistribution

The Weibull distribution.

References:

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

Since:

1.3

Constructor Summary

Constructors

Constructor and Description
Weibull() Default constructor.
Weibull(double sh, double sc) Create a distribution with the given parameters.
Weibull(double sh, double sc, double l) Create a distribution with the given parameters.

Method Summary

Modifier and Type	Method and Description
double	cumulativeProbability(double x) The CDF for this distribution.
double	getLocation() Access the location parameter.
double	getScale() Access the scale parameter.
double	getShape() Access the shape parameter.
double	inverseCumulativeProbability(double p) The inverse CDF for this distribution.
void	setLocation(double l) Modify the location parameter.
void	setScale(double s) Modify the scale parameter.
void	setShape(double s) Modify the shape parameter.

Methods inherited from class java.lang.Object

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

Constructor Detail

Weibull

public Weibull()

Default constructor. The shape parameter is set to one, the scale parameter is set to one and, the location parameter is set to zero.

Weibull

public Weibull(double sh,
               double sc)

Create a distribution with the given parameters. The location parameter is set to zero.

Parameters:

sh - the shape parameter.

sc - the scale parameter.

Weibull

public Weibull(double sh,
               double sc,
               double l)

Create a distribution with the given parameters.

Parameters:

sh - the shape parameter.

sc - the scale parameter.

l - the location parameter.

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.

getLocation

public double getLocation()

Access the location parameter.

Returns:

the location parameter.

getScale

public double getScale()

Access the scale parameter.

Returns:

the scale parameter.

getShape

public double getShape()

Access the shape parameter.

Returns:

the shape parameter.

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

setLocation

public void setLocation(double l)

Modify the location parameter.

Parameters:

l - the new location parameter.

setScale

public void setScale(double s)

Modify the scale parameter.

Parameters:

s - The new scale parameter.

setShape

public void setShape(double s)

Modify the shape parameter.

Parameters:

s - the new shape parameter.