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

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...

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

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

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...

{\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...

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

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

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...

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

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

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

advanced utility theory and the theory of consumer demand. In multivariate statistics, Wold contributed the methods of partial least squares (PLS) and...

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

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

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

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...

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

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...

typically consumers on websites. Techniques of multivariate statistics are used. In internet marketing, multivariate testing is a process by which more than...

probability theory, Hotelling's T-square distribution in multivariate statistics. Multivariate Student distribution. This disambiguation page lists articles...

Oja, Hannu (2010). Multivariate nonparametric methods with R: An approach based on spatial signs and ranks. Lecture Notes in Statistics. Vol. 199. New York...

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

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

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

published by Camille Jordan in 1875. CCA is now a cornerstone of multivariate statistics and multi-view learning, and a great number of interpretations...

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

area is empirically driven – such as dimensional models, based on multivariate statistics like factor analysis – or emphasizes theory development, such as...

(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...