Package dev.nm.stat.evt.evd.bivariate
Class AbstractBivariateEVD
java.lang.Object
dev.nm.stat.distribution.multivariate.AbstractBivariateProbabilityDistribution
dev.nm.stat.evt.evd.bivariate.AbstractBivariateEVD
- All Implemented Interfaces:
BivariateProbabilityDistribution
,MultivariateProbabilityDistribution
,BivariateEVD
,RandomVectorGenerator
,Seedable
- Direct Known Subclasses:
BivariateEVDAsymmetricLogistic
,BivariateEVDAsymmetricMixed
,BivariateEVDAsymmetricNegativeLogistic
,BivariateEVDBilogistic
,BivariateEVDColesTawn
,BivariateEVDHuslerReiss
,BivariateEVDLogistic
,BivariateEVDNegativeBilogistic
,BivariateEVDNegativeLogistic
public abstract class AbstractBivariateEVD
extends AbstractBivariateProbabilityDistribution
implements BivariateEVD
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Constructor Summary
Constructors -
Method Summary
Methods inherited from class dev.nm.stat.distribution.multivariate.AbstractBivariateProbabilityDistribution
cdf, density
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
Methods inherited from interface dev.nm.stat.evt.evd.bivariate.BivariateEVD
conditionalCopula, dependence, spectralDensity
Methods inherited from interface dev.nm.stat.distribution.multivariate.BivariateProbabilityDistribution
cdf, density
Methods inherited from interface dev.nm.stat.distribution.multivariate.MultivariateProbabilityDistribution
cdf, density
Methods inherited from interface dev.nm.stat.random.rng.multivariate.RandomVectorGenerator
nextVector
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Constructor Details
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AbstractBivariateEVD
public AbstractBivariateEVD()
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Method Details
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mean
Description copied from interface:MultivariateProbabilityDistribution
Gets the mean of this distribution.- Specified by:
mean
in interfaceMultivariateProbabilityDistribution
- Returns:
- the mean
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mode
Description copied from interface:MultivariateProbabilityDistribution
Gets the mode of this distribution.- Specified by:
mode
in interfaceMultivariateProbabilityDistribution
- Returns:
- the mean
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covariance
Description copied from interface:MultivariateProbabilityDistribution
Gets the covariance matrix of this distribution.- Specified by:
covariance
in interfaceMultivariateProbabilityDistribution
- Returns:
- the covariance
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entropy
public double entropy()Description copied from interface:MultivariateProbabilityDistribution
Gets the entropy of this distribution.- Specified by:
entropy
in interfaceMultivariateProbabilityDistribution
- Returns:
- the entropy
- See Also:
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moment
Description copied from interface:MultivariateProbabilityDistribution
The moment generating function is the expected value of etX. That is,E(etX)
This may not always exist.- Specified by:
moment
in interfaceMultivariateProbabilityDistribution
- Parameters:
t
- t- Returns:
- E(exp(tX))
- See Also:
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