Class Weibull

java.lang.Object

org.ojalgo.random.RandomNumber

org.ojalgo.random.Weibull

All Implemented Interfaces:

Comparable<RandomNumber>, DoubleSupplier, Supplier<Double>, BasicFunction, NullaryFunction<Double>, PrimitiveFunction.Nullary, Distribution, AccessScalar<Double>, ComparableNumber<RandomNumber>, NumberDefinition

public class Weibull
extends RandomNumber

Useful as length of life distribution in reliability theory.

Nested Class Summary

Nested classes/interfaces inherited from interface BasicFunction

BasicFunction.Differentiable<N,F>, BasicFunction.Integratable<N,F>, BasicFunction.PlainUnary<T,R>

Field Summary

Fields

Modifier and Type	Field	Description
private final double	myRate
private final double	myShape

Constructor Summary

Constructors

Constructor	Description
Weibull()
Weibull(double lambda, double beta)

Method Summary

Modifier and Type	Method	Description
protected double	generate()
double	getExpected()
double	getVariance()	Subclasses must override either getStandardDeviation() or getVariance()!

Methods inherited from class RandomNumber

checkProbabilty, compareTo, doubleValue, floatValue, getStandardDeviation, intValue, invoke, longValue, newSampleSet, random, setRandom, setSeed, toString

Methods inherited from class Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface NullaryFunction

andThen, get, getAsDouble

Methods inherited from interface NumberDefinition

booleanValue, byteValue, shortValue

Field Details

myShape

private final double myShape

myRate

private final double myRate

Constructor Details

Weibull

public Weibull()

Weibull

public Weibull(double lambda,
 double beta)

Method Details

getExpected

public double getExpected()

getVariance

public double getVariance()

Description copied from class: RandomNumber

Subclasses must override either getStandardDeviation() or getVariance()!

Specified by:

getVariance in interface Distribution

Overrides:

getVariance in class RandomNumber

See Also:

• Distribution.getStandardDeviation()
• Distribution.getVariance()

generate

protected double generate()

Specified by:

generate in class RandomNumber