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#Com.numericalmethod.suanshu.stats.distribution.multivariate Classes and Interfaces - 7 results found.
| Name | Description | Type | Package | Framework |
| AbstractBivariateProbabilityDistribution | Class | com.numericalmethod.suanshu.stats.distribution.multivariate | SuanShu | |
| BivariateProbabilityDistribution | A bivariate or joint probability distribution for X_1, X_2 is a probability distribution that gives the probability that each of X_1, X_2, . | Interface | com.numericalmethod.suanshu.stats.distribution.multivariate | SuanShu |
| DirichletDistribution | The Dirichlet distribution (after Peter Gustav Lejeune Dirichlet), often denoted Dir(a), is a family of continuous multivariate probability distributions parametrized by a vector | Class | com.numericalmethod.suanshu.stats.distribution.multivariate | SuanShu |
| MultinomialDistribution | Class | com.numericalmethod.suanshu.stats.distribution.multivariate | SuanShu | |
| MultivariateNormalDistribution | The multivariate Normal distribution or multivariate Gaussian distribution, is a generalization of the one-dimensional (univariate) Normal distribution to higher dimensions. | Class | com.numericalmethod.suanshu.stats.distribution.multivariate | SuanShu |
| MultivariateProbabilityDistribution | A multivariate or joint probability distribution for X, Y, . | Interface | com.numericalmethod.suanshu.stats.distribution.multivariate | SuanShu |
| MultivariateTDistribution | The multivariate T distribution or multivariate Student distribution, is a generalization of the one-dimensional (univariate) Student's t-distribution to higher dimensions. | Class | com.numericalmethod.suanshu.stats.distribution.multivariate | SuanShu |