theory and statistics, the multivariate normal distribution, multivariate Gaussian distribution, or joint normal distribution is a generalization of the...
65 KB (9,519 words) - 19:30, 12 August 2024
joint distribution, as a particular multivariate distribution, may be expressed by a multivariate cumulative distribution function, or by a multivariate probability...
19 KB (3,103 words) - 22:00, 19 May 2024
In statistics, the multivariate t-distribution (or multivariate Student distribution) is a multivariate probability distribution. It is a generalization...
31 KB (5,672 words) - 11:55, 16 August 2024
of probability, multivariate Laplace distributions are extensions of the Laplace distribution and the asymmetric Laplace distribution to multiple variables...
9 KB (1,090 words) - 00:54, 23 August 2024
conditional distribution of a single outcome variable given the other variables. Multivariate analysis (MVA) is based on the principles of multivariate statistics...
17 KB (1,859 words) - 17:39, 19 February 2024
T-squared distribution (T2), proposed by Harold Hotelling, is a multivariate probability distribution that is tightly related to the F-distribution and is...
18 KB (1,980 words) - 21:40, 18 September 2024
continuous multivariate probability distributions parameterized by a vector α {\displaystyle {\boldsymbol {\alpha }}} of positive reals. It is a multivariate generalization...
41 KB (6,539 words) - 11:38, 8 August 2024
Bayesian statistics, the Wishart distribution is the conjugate prior of the inverse covariance-matrix of a multivariate-normal random-vector. Suppose G...
27 KB (4,173 words) - 09:02, 14 August 2024
elliptical distribution is any member of a broad family of probability distributions that generalize the multivariate normal distribution. Intuitively...
15 KB (1,751 words) - 18:03, 19 August 2024
The multivariate stable distribution is a multivariate probability distribution that is a multivariate generalisation of the univariate stable distribution...
9 KB (1,603 words) - 16:53, 9 February 2021