variate's Usage Examples:

statistics, canonical-correlation analysis (CCA), also called canonical variates analysis, is a way of inferring information from cross-covariance matrices.

probability and statistics, a random variate is a particular outcome of a random variable: the random variates which are other outcomes of the same random.

probability distribution of a standard normal variate divided by an independent standard uniform variate.

simple transformation-rejection method relying on one normal variate X and one uniform variate U: Set d = a − 1 3 {\displaystyle d=a-{\frac {1}{3}}} and.

− 1 ) Σ ^ {\displaystyle (n-1){\hat {\mathbf {\Sigma } }}} follows a p-variate Wishart distribution with n−1 degrees of freedom.

Hans Rademacher) is a discrete probability distribution where a random variate X has a 50% chance of being +1 and a 50% chance of being -1.

The control variates method is a variance reduction technique used in Monte Carlo methods.

In statistics, the matrix t-distribution (or matrix variate t-distribution) is the generalization of the multivariate t-distribution from vectors to matrices.

The distribution of the ratio of two circular variates (Z) from two different wrapped exponential distributions will have a wrapped.

maintained and cached for performance to offer the desired random, multi-variate access to files in addition to the underlying, mostly traditional block-based.

the statistical distribution of half the logarithm of an F-distribution variate: z = 1 2 log ⁡ F {\displaystyle z={\frac {1}{2}}\log F} It was first described.

Pseudo-random number sampling or non-uniform pseudo-random variate generation is the numerical practice of generating pseudo-random numbers that are distributed.

If φ is a random variate in the interval (-∞,∞) with probability density function p(φ), then z =.

Canonical variate analysis captures a relationship between a set of predictor variables and.

The terminology here is the same as that for random variable and random variate.

In statistics, the matrix variate beta distribution is a generalization of the beta distribution.

generalize parts of the Sz-Nagy-Foias model theory in the context of multi-variate operator theory.

In statistics, the matrix variate Dirichlet distribution is a generalization of the matrix variate beta distribution.

Synonyms:

variable; variable quantity; variant; random variable; chance variable; stochastic variable;

Antonyms:

consistent; constant; invariable; same; antitype;