AbstractBivariateProbabilityDistribution (NM DEV API (v1.2.4) by NM)

java.lang.Object
- dev.nm.stat.distribution.multivariate.AbstractBivariateProbabilityDistribution

All Implemented Interfaces:

BivariateProbabilityDistribution, MultivariateProbabilityDistribution

Direct Known Subclasses:

AbstractBivariateEVD
```
public abstract class AbstractBivariateProbabilityDistribution
extends Object
implements BivariateProbabilityDistribution
```

Constructor Summary

Constructors
Constructor Description

AbstractBivariateProbabilityDistribution()

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`double`	`cdf(Vector x)`	Gets the cumulative probability F(x) = Pr(X ≤ x).
`double`	`density(Vector x)`	The density function, which, if exists, is the derivative of F.

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.distribution.multivariate.BivariateProbabilityDistribution
cdf, density

Methods inherited from interface dev.nm.stat.distribution.multivariate.MultivariateProbabilityDistribution
covariance, entropy, mean, mode, moment

- Constructor Detail
  - AbstractBivariateProbabilityDistribution
```
public AbstractBivariateProbabilityDistribution()
```
- Method Detail
  - cdf
```
public double cdf(Vector x)
```
    Description copied from interface: MultivariateProbabilityDistribution
    
    Gets the cumulative probability F(x) = Pr(X ≤ x).
    
    Specified by:
    
    cdf in interface MultivariateProbabilityDistribution
    
    Parameters:
    
    x - x
    
    Returns:
    
    F(x) = Pr(X ≤ x)
  - density
```
public double density(Vector x)
```
    Description copied from interface: MultivariateProbabilityDistribution
    
    The density function, which, if exists, is the derivative of F. It describes the density of probability at each point in the sample space.
    f(x) = dF(X) / dx
    This 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.
    
    Specified by:
    
    density in interface MultivariateProbabilityDistribution
    
    Parameters:
    
    x - x
    
    Returns:
    
    f(x)