Class Weibull
java.lang.Object
random.AbstractDistribution
random.Weibull
- All Implemented Interfaces:
Distribution, StorableDistribution
This is the Weibull distribution.
Copyright (c) 2021
Imperial College London
Copyright (c) 2021
Imperial College London
- Author:
- Giuliano Casale, g.casale@imperial.ac.uk
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Field Summary
Fields inherited from class AbstractDistribution
engine -
Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptiondoubleThis method is used to obtain from the distribution its cumulative distribution function evaluated where required by the user.doubleThis method is used to obtain from the distribution the next number distributed according to the distribution parameter.doubleThis method is used to obtain from the distribution its probability distribution function evaluated where required by the user.doubleThis method is used to obtain from the distribution the value of its own theoretic mean.doubleThis method is used to obtain from the distribution the value of its own theoretic variance.Methods inherited from class AbstractDistribution
setRandomEngineMethods inherited from class Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitMethods inherited from interface Distribution
setRandomEngine
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Constructor Details
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Weibull
public Weibull()This is the constructor. It creates a new Weibull distribution
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Method Details
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pdf
This method is used to obtain from the distribution its probability distribution function evaluated where required by the user.- Specified by:
pdfin interfaceDistribution- Parameters:
x- double indicating where to evaluate the pdf.p- parameter of the Weibull distribution.- Returns:
- double with the probability distribution function evaluated in x.
- Throws:
IncorrectDistributionParameterException
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cdf
This method is used to obtain from the distribution its cumulative distribution function evaluated where required by the user.- Specified by:
cdfin interfaceDistribution- Parameters:
x- double indicating where to evaluate the cdf.p- parameter of the Weibull distribution.- Returns:
- double with the cumulative distribution function evaluated in x.
- Throws:
IncorrectDistributionParameterException
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theorMean
This method is used to obtain from the distribution the value of its own theoretic mean.- Specified by:
theorMeanin interfaceDistribution- Parameters:
p- parameter of the Weibull distribution.- Returns:
- double with the theoretic mean of the distribution. The theoretic mean is calculated as r/alpha.
- Throws:
IncorrectDistributionParameterException
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theorVariance
This method is used to obtain from the distribution the value of its own theoretic variance.- Specified by:
theorVariancein interfaceDistribution- Parameters:
p- parameter of the Weibull distribution.- Returns:
- double with the theoretic variance of the distribution. The theoretic variance is calculated as r/(alpha^2).
- Throws:
IncorrectDistributionParameterException
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nextRand
This method is used to obtain from the distribution the next number distributed according to the distribution parameter.- Specified by:
nextRandin interfaceDistribution- Parameters:
p- parameter of the Weibull distribution.- Returns:
- double with the next random number of this distribution.
- Throws:
IncorrectDistributionParameterException
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