public abstract class AbstractBivariateEVD extends AbstractBivariateProbabilityDistribution implements BivariateEVD
| Constructor and Description |
|---|
AbstractBivariateEVD() |
| Modifier and Type | Method and Description |
|---|---|
Matrix |
covariance()
Gets the covariance matrix of this distribution.
|
double |
entropy()
Gets the entropy of this distribution.
|
Vector |
mean()
Gets the mean of this distribution.
|
Vector |
mode()
Gets the mode of this distribution.
|
double |
moment(Vector t)
The moment generating function is the expected value of etX.
|
cdf, densityclone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitconditionalCopula, dependence, spectralDensitycdf, densitycdf, densitynextVectorpublic Vector mean()
MultivariateProbabilityDistributionmean in interface MultivariateProbabilityDistributionpublic Vector mode()
MultivariateProbabilityDistributionmode in interface MultivariateProbabilityDistributionpublic Matrix covariance()
MultivariateProbabilityDistributioncovariance in interface MultivariateProbabilityDistributionpublic double entropy()
MultivariateProbabilityDistributionentropy in interface MultivariateProbabilityDistributionpublic double moment(Vector t)
MultivariateProbabilityDistributionE(etX)This may not always exist.
moment in interface MultivariateProbabilityDistributiont - tCopyright © 2010-2020 NM FinTech Ltd.. All Rights Reserved.