calculus Multivariate function Multivariate polynomial Multivariate interpolation Multivariate optimization Multivariate cryptography Multivariate division...

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

Multivariate statistics is a subdivision of statistics encompassing the simultaneous observation and analysis of more than one outcome variable, i.e.,...

Multivariable calculus (also known as multivariate calculus) is the extension of calculus in one variable to calculus with functions of several variables:...

In numerical analysis, multivariate interpolation is interpolation on functions of more than one variable (multivariate functions); when the variates are...

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

The general linear model or general multivariate regression model is a compact way of simultaneously writing several multiple linear regression models...

Niinimaa, A., and H. Oja. "Multivariate median." Encyclopedia of statistical sciences (1999). Mosler, Karl. Multivariate Dispersion, Central Regions...

In statistics, multivariate analysis of variance (MANOVA) is a procedure for comparing multivariate sample means. As a multivariate procedure, it is used...

Hotelling's T-squared distribution (T2), proposed by Harold Hotelling, is a multivariate probability distribution that is tightly related to the F-distribution...

A bivariate map or multivariate map is a type of thematic map that displays two or more variables on a single map by combining different sets of symbols...

Eberly Professor and Chair of Statistics and Director of the Center for Multivariate Analysis at Pennsylvania State University. As Head and later Director...

involving more than one variable are multivariate. In some cases the distinction between the univariate and multivariate cases is fundamental; for example...

Multivariate cryptography is the generic term for asymmetric cryptographic primitives based on multivariate polynomials over a finite field F {\displaystyle...

In statistics, the multivariate t-distribution (or multivariate Student distribution) is a multivariate probability distribution. It is a generalization...

Source separation, blind signal separation (BSS) or blind source separation, is the separation of a set of source signals from a set of mixed signals,...

number of marbles of each color in the sample (k1, k2,..., kc) has the multivariate hypergeometric distribution: Pr ( X 1 = k 1 , … , X c = k c ) = ∏ i =...

test-takers who received lower scores than students A and B. "For some multivariate techniques such as multidimensional scaling and cluster analysis, the...

In mathematics, the multivariate gamma function Γp is a generalization of the gamma function. It is useful in multivariate statistics, appearing in the...

whether 0 belongs to its domain of definition (see Halting problem). A multivariate function, multivariable function, or function of several variables is...

for multivariate data would be an important addition to multivariate statistics. Based on research carried out in the 1990s and 2000s, multivariate kernel...

methods frequently employed in core data-analytic disciplines such as multivariate statistics, applied mathematics, and computer science, in order to address...

several generalizations of the mutual information. It is also known as the multivariate constraint (Garner 1962) or multiinformation (Studený & Vejnarová 1999)...

process is called multiple linear regression. This term is distinct from multivariate linear regression, where multiple correlated dependent variables are...

Multivariate optical computing, also known as molecular factor computing, is an approach to the development of compressed sensing spectroscopic instruments...

Journal of Multivariate Analysis is a monthly peer-reviewed scientific journal that covers applications and research in the field of multivariate statistical...

polynomial, a polynomial in more than one indeterminate is called a multivariate polynomial. A polynomial with two indeterminates is called a bivariate...

) T {\displaystyle X=(X_{1},\ldots ,X_{k})^{T}} is said to have the multivariate Cauchy distribution if every linear combination of its components Y =...

Multivariate testing is multivariate hypothesis testing. Multivariate testing may also refer to: Multivariate statistics Multivariate testing in marketing...

homescedasticity and heteroscedasticity has been generalized to the multivariate case, which deals with the covariances of vector observations instead...