public abstract class AbstractBivariateProbabilityDistribution extends Object implements BivariateProbabilityDistribution
Constructor and Description |
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AbstractBivariateProbabilityDistribution() |
Modifier and Type | Method and Description |
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double |
cdf(Vector x)
Gets the cumulative probability F(x) = Pr(X ≤ x).
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double |
density(Vector x)
The density function, which, if exists, is the derivative of F.
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
cdf, density
covariance, entropy, mean, mode, moment
public AbstractBivariateProbabilityDistribution()
public double cdf(Vector x)
MultivariateProbabilityDistribution
cdf
in interface MultivariateProbabilityDistribution
x
- xpublic double density(Vector x)
MultivariateProbabilityDistribution
f(x) = dF(X) / dxThis may not always exist. For the discrete cases, this is the probability mass function. It gives the probability that a discrete random variable is exactly equal to some value.
density
in interface MultivariateProbabilityDistribution
x
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