# SuanShu, a Java numerical and statistical library

com.numericalmethod.suanshu.stats.distribution.multivariate

## Interface BivariateProbabilityDistribution

• ### Method Summary

All Methods
Modifier and Type Method and Description
double cdf(double x1, double x2)
The joint distribution function $$F_{X_1,X_2}(x_1,x_2) = Pr(X_1 \le x_1, X_2 \le x_2)$$.
double density(double x1, double x2)
The joint distribution density $$f_{X_1,X_2}(x_1,x_2)$$.
• ### Methods inherited from interface com.numericalmethod.suanshu.stats.distribution.multivariate.MultivariateProbabilityDistribution

cdf, covariance, density, entropy, mean, mode, moment
• ### Method Detail

• #### cdf

double cdf(double x1,
double x2)
The joint distribution function $$F_{X_1,X_2}(x_1,x_2) = Pr(X_1 \le x_1, X_2 \le x_2)$$.
Parameters:
x1 - the value drawn from $$X_1$$
x2 - the value drawn from $$X_2$$
Returns:
the joint distribution of $$X_1$$ and $$X_2$$
• #### density

double density(double x1,
double x2)
The joint distribution density $$f_{X_1,X_2}(x_1,x_2)$$.
Parameters:
x1 - the value drawn from $$X_1$$
x2 - the value drawn from $$X_2$$
Returns:
the joint density of $$X_1$$ and $$X_2$$