দুই বা ততোধিক ভেরিয়েবল জড়িত কোনো পদ্ধতি সংক্রান্ত

multivariate's Usage Examples:

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

Multivariate statistics concerns understanding the different aims and background of each of the different forms of multivariate analysis, and.

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

the concept generalizes to any number of random variables, giving a multivariate distribution.

member of a broad family of probability distributions that generalize the multivariate normal distribution.

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

As a multivariate procedure, it is used.

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

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

In statistics, multivariate adaptive regression splines (MARS) is a form of regression analysis introduced by Jerome H.

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

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

In the mathematical theory of probability, multivariate Laplace distributions are extensions of the Laplace distribution and the asymmetric Laplace distribution.

analysis may also be divided into linear and non-linear, and univariate and multivariate.

as the conjugate prior of the covariance matrix of a multivariate normal distribution or matrix normal distribution.

learning theory, predictors of creativity and achievement, and many multivariate research methods including the refinement of factor analytic methods.

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

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

multivariate statistics.

In Bayesian statistics, the Wishart distribution is the conjugate prior of the inverse covariance-matrix of a multivariate-normal.

multivariate's Meaning':

pertaining to any procedure involving two or more variables

Synonyms:

variable;

Antonyms:

invariable; constant;