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 ?
From the definition it is clear that for [alpha] = [beta] the generalized extended matrix variate gamma function reduces to an extended matrix variate gamma function, i.
For [alpha] = [beta], the density (5) reduces to a matrix variate gamma density and for [OMEGA] = [I.
Han, "A martingale control variate method for option pricing with stochastic volatility," ESAIM: Probability and Statistics, vol.
TABLE 2 Canonical Correlation Analysis for Vocational Identity Status Variables With Time Perspective Variables Variate 1 Variate 2 Variable Coefficient [r.
These increase the standard deviation of the first linear combination of the first canonical variate of the Islamic country Indices.
To reduce the variance and achieve high accuracy of the simulation results for arithmetic Asian power option within a feasible number of simulation runs, the implementation of a control variate technique in the Monte Carlo simulation approach is necessary.
The variables in the White racial consciousness set that correlated with the first canonical variate were Dominative-Integrative (0.
The canonical variate plots are given in Figure 6 and the loadings of the 1st canonical variates in Figure 7.
Table 2 presents the results of CC in which Left Hand variate composed of variables of task characteristic related to Right Hand variate composed of group effectiveness variables.
i]), variance extracted, is the average variance in Y variables that is accounted for by the canonical variate Vi (is the linear combination of the sugar-related characters).
The plot of these results (Figure 2) shows a broad distribution of crania along the first canonical variate.
In accordance with the recommendations of Tabachnick and Fidell (1996), prior to conducting the canonical correlation analyses, the data were screened for the presence of multi variate outliers.