variate

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var·i·ate

(var'ē-āt),
A measurable quantity capable of taking on a number of values; may be binary (that is, capable of taking on two values in a certain interval of values), continuous (i.e., capable of taking on all values in a certain interval of real values), or discrete (that is, capable of taking on a limited number of values in a certain interval of real values).

var·i·ate

(var'ē-āt)
Measurable quantity capable of taking on a number of values; may be binary, continuous, or discrete.
References in periodicals archive ?
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.
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).
When compared to other generation methods of complex Nakagami-m variates, such as the Acceptance-Rejection method used in [22], the proposed method here has a dramatically better efficiency.
We combine antithetic variate and control variate techniques to improve the efficiency of the Algorithm 1.
The m x m symmetric positive definite random matrix X is said to have a matrix variate gamma distribution, denoted by X ~ Ga(m, v, [theta], [OMEGA]), if its probability density function (p.d.f.) is given by
The focus of CCA method is on identifying and testing the significance of the relationship between each pair of linear combinations called canonical variate. These variables are constructed from the variables of both sets such that the correlation between the two sets called canonical correlation is maximized.
As shown in Table 3, all variables of ADM are positively correlated with the ADS set in the first canonical variate. Students reporting more reasons for AD and with less MP were more likely to report various types of AD behaviors than were students in other groups.
In this function the pair of canonical variates indicated that family environments emphasizing members' connection and competition with one another, independent decision making, structured nature of family events, outside influences (i.e.
Figure 3 gives the histogram plots of the coefficients of the eigenvectors, or loadings, corresponding to the 1st canonical variates for all datasets.