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

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

In probability theory and statistics, a copula is a multivariate cumulative distribution function for which the marginal probability distribution of each...

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

(2001). Applied Multivariate Statistical Analysis. Pearson. pp. 111–112. ISBN 0131877151. "Basic Concepts for Multivariate Statistics p.2" (PDF). SAS...

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

The growth curve model in statistics is a specific multivariate linear model, also known as GMANOVA (Generalized Multivariate Analysis-Of-Variance). It...

In probability, and statistics, a multivariate random variable or random vector is a list or vector of mathematical variables each of whose value is unknown...

probability and statistics, an elliptical distribution is any member of a broad family of probability distributions that generalize the multivariate normal distribution...

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

spent her working life in America. She wrote a "classic" book on multivariate statistics, and made important studies of the health effects of anesthetics...

{\displaystyle X,Y,\ldots } , that are defined on the same probability space, the multivariate or joint probability distribution for X , Y , … {\displaystyle X,Y,\ldots...

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

Mahalanobis distance, under the assumption of equal dispersion. It is a multivariate generalization of the square of the standard score z = ( x − μ ) / σ...

Applications of “Student’s” distribution. The rise of computers and multivariate statistics in mid-20th century necessitated normalization to process data...

algorithm Multivariate optical computing Multivariate analysis Multivariate random variable Multivariate regression Multivariate statistics Univariate...

In multivariate statistics, if ε {\displaystyle \varepsilon } is a vector of n {\displaystyle n} random variables, and Λ {\displaystyle \Lambda } is an...

In multivariate statistics, a scree plot is a line plot of the eigenvalues of factors or principal components in an analysis. The scree plot is used to...

and multivariate statistics including the development of skew normal distributions. Azzalini was born in Milan and received his laurea in statistics and...

In statistics, particularly in hypothesis testing, the Hotelling's T-squared distribution (T2), proposed by Harold Hotelling, is a multivariate probability...

high-dimensional statistics studies data whose dimension is larger (relative to the number of datapoints) than typically considered in classical multivariate analysis...

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

Applied Statistics: From Bivariate Through Multivariate Techniques. SAGE. p. 778. ISBN 978-1-4129-9134-6. Bryan F.J. Manly (6 July 2004). Multivariate Statistical...

Psychology Journal of Educational and Behavioral Statistics Journal of Mathematical Psychology Multivariate Behavioral Research Psychological Assessment Structural...

statistics, a contingency table (also known as a cross tabulation or crosstab) is a type of table in a matrix format that displays the multivariate frequency...

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

only in very particular cases, for example when the distribution is a multivariate normal distribution. (See diagram above.) In the case of elliptical distributions...

(2005). A step-by-step approach to using SAS for univariate & multivariate statistics (2nd ed.). New York: Wiley-Interscience. ISBN 1-59047-417-1. Longnecker...

elliptically distributed (e.g., is distributed as a multivariate normal distribution or a multivariate t-distribution) then the first DCA pattern (DCA1)...

For the notion in quantum mechanics, see scattering matrix. In multivariate statistics and probability theory, the scatter matrix is a statistic that...