variate


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var·i·ate

 (vâr′ē-ĭt, -āt′, văr′-)
n. Statistics
A single observed value of a random variable, considered to be one of many possible realizations.

[From Latin variātus, past participle of variāre, to vary; see vary.]

variate

(ˈvɛərɪɪt)
n
1. (Statistics) statistics a random variable or a numerical value taken by it
2. a less common word for variant4
[C16: from Latin variāre to vary]

ran′dom var′iable


n.
a statistical quantity that can take any of the values of a specified set in accordance with an associated probability distribution.
Also called variate.
[1935–40]
ThesaurusAntonymsRelated WordsSynonymsLegend:
Noun1.variate - a variable quantity that is randomvariate - a variable quantity that is random  
variable quantity, variable - a quantity that can assume any of a set of values
References in periodicals archive ?
A pattern of perforated tiles will allow air into the building and variate the facade - prompting HS2's designers to dub it the 'sugar cube'.
A canonical variate analysis (CVA) of the covariance matrix of the shape coordinates (Mitteroecker & Bookstein, 2011) was used to assess body shape differences between farmed populations of tilapia.
In the first canonical function, perceived social loafing in teammates (PSLQ) and social-loafing acceptability (SLAQ) had moderate to strong positive loadings on the social-loafing variate. Personal standards, doubts about actions, and perceived parental pressure had moderate to strong positive loadings on the perfectionism variate.
Results indicated that a canonical variate comprising foundational ICM skills (e.g., career exploration, goal setting) predicted a variate composed of ICM outcomes (e.g., self-efficacy,' vocational identity), thus supporting the usefulness of the ICM framework for this population.
The MAD variate [M.sub.k], which is generated by taking the paired difference between U and V, represents the changed information [22], where the equation is as follows (6).
Then a second pair of canonical variate is obtained subject to the condition that they are uncorrelated with the first pair.
A cutoff score of .30 is suggested as a minimum acceptable loading value in interpreting variables of a given canonical variate (Tabachnick & Fidell, 2013).
Differences in the shape of skulls between species are visualized through the Canonical Variate Analysis (CVA).
It is noteworthy that the proposed [alpha]-[mu] variate generation method is simple and can be used in several other scenarios.
In other words, (1) CCA will seek for vectors of a and b in random variables of [alpha]X and [beta]Y to maximize the correlation of [rho] = corr([alpha]X, [beta]Y); (2) random variable of U = [alpha]X and V = [beta]Y will be constructed to perform new sets of canonical variates that are linear combinations from the original variables with simple correlation between U and V; (3) then other vectors U and V having maximal correlation subject but being uncorrelated with the first canonical variate will be produced as the second canonical variates [20].
We used the result of the first (F1) and the second (F2) canonical variate for the interpretation of data.
We combine antithetic variate and control variate techniques to improve the efficiency of the Algorithm 1.