The multivariate stable distribution is a multivariate probability distribution that is a multivariate generalisation of the univariate stable distribution...

theory and statistics, the multivariate normal distribution, multivariate Gaussian distribution, or joint normal distribution is a generalization of the...

following multivariate probability distributions: Multivariate normal distribution Multivariate t-distribution Symmetric multivariate stable distribution Symmetric...

joint distribution, as a particular multivariate distribution, may be expressed by a multivariate cumulative distribution function, or by a multivariate probability...

to be stable if its distribution is stable. The stable distribution family is also sometimes referred to as the Lévy alpha-stable distribution, after...

of probability, multivariate Laplace distributions are extensions of the Laplace distribution and the asymmetric Laplace distribution to multiple variables...

the few stable distributions with a probability density function that can be expressed analytically, the others being the normal distribution and the...

logistic distributions). For other names, see Naming. The univariate probability distribution is generalized for vectors in the multivariate normal distribution...

Laplace distribution minimised the absolute deviation from the median. Generalized normal distribution#Symmetric version Multivariate Laplace distribution Besov...

the binomial distribution. The multivariate normal distribution, a generalization of the normal distribution. The multivariate t-distribution, a generalization...

distribution Multivariate probit – redirects to Multivariate probit model Multivariate random variable Multivariate stable distribution Multivariate statistics...

matrix gamma distribution and the Wishart distribution are multivariate generalizations of the gamma distribution (samples are positive-definite matrices...

}})} is a multivariate normal distribution, then Y i = exp ⁡ ( X i ) {\displaystyle Y_{i}=\exp(X_{i})} has a multivariate log-normal distribution. The exponential...

[pwasɔ̃]). It plays an important role for discrete-stable distributions. Under a Poisson distribution with the expectation of λ events in a given interval...

Sagias, N.C.; Karagiannidis, G.K. (2005). "Gaussian Class Multivariate Weibull Distributions: Theory and Applications in Fading Channels". IEEE Transactions...

In statistics, Wilks' lambda distribution (named for Samuel S. Wilks), is a probability distribution used in multivariate hypothesis testing, especially...

related to the generalized multivariate log-gamma distribution provides a multivariate version of the Gumbel distribution. Gumbel has shown that the maximum...

divisible distribution if and only if β ∈ ( 0 , 1 ] ∪ { 2 } {\displaystyle \beta \in (0,1]\cup \{2\}} . The multivariate generalized normal distribution, i.e...

cryptography. Multivariate cryptography has been very productive in terms of design and cryptanalysis. Overall, the situation is now more stable and the strongest...

K.; Tang, J. (1984). "Distribution of likelihood ratio statistic for testing equality of covariance matrices of multivariate Gaussian models". Biometrika...

limit theorem states that when scaled, sums converge to a multivariate normal distribution. Summation of these vectors is done component-wise. For i =...

for a well can be described by the Fréchet distribution. One test to assess whether a multivariate distribution is asymptotically dependent or independent...

probability distributions.[citation needed] The covariance matrix is related to the moment of inertia tensor for multivariate distributions. The moment...

problem by yielding a variable whose distribution is approximately normally distributed, with a variance that is stable over different values of r. Given...

the maximum likelihood estimator. Some distributions (e.g., stable distributions other than a normal distribution) do not have a defined variance. The values...

normal distribution is considered as a model for brain stopping reaction times. Kozubowski, Tomasz J.; Podgorski, Krzysztof (2000). "A Multivariate and Asymmetric...

Pearson distribution, a family of continuous probability distributions, which includes the normal distribution and many skewed distributions, and proposed...

Eriksen, P.S. (1995). Linear and graphical models for the multivariate complex normal distribution. Lecture Notes in Statistics 101. New York: Springer-Verlag...

This type of causes collectively produce a statistically stable and repeatable distribution over time. (2) Special causes 'Special' causes are sometimes...

Donald F. Morrison (1967). "Chapter 3: Samples from the Multivariate Normal Population". Multivariate Statistical Methods. McGraw-Hill. ISBN 978-0-534-38778-5...