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variate's Usage Examples:

The bivariate case in terms of variables x and y has the form f ( x , y ) a x 2 +.

the probability distribution of the magnitude of a circularly-symmetric bivariate normal random variable, possibly with non-zero mean (noncentral).

The main advantages of the use of multivariate calibration techniques is that fast, cheap, or non-destructive.

In multivariate statistics, exploratory factor analysis (EFA) is a statistical method used to uncover the underlying structure of a relatively large set.

Multivariate kernel density estimationVariable kernel density estimationHead/tail breaksReferencesExternal linksIntroduction to kernel density estimation A short tutorial which motivates kernel density estimators as an improvement over histograms.

If the polynomials have the degree two, we talk about multivariate quadratics.

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

the degenerate distribution is univariate (involving only a single random variable) it is a deterministic distribution and takes only a single value.

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

The lens has four different variates, fitting on the Canon EF mount, Pentax K mount, Minolta A-mount, and the.

and multivariate statistics, the centering matrix is a symmetric and idempotent matrix, which when multiplied with a vector has the same effect as subtracting.

proportional hazards model assumes that the effect of a covariate is to multiply the hazard by some constant, an AFT model assumes that the effect of a covariate.

Synonyms:

variable, variable quantity, variant, random variable, chance variable, stochastic variable,

Antonyms:

consistent, constant, invariable, same, antitype,