bivariate


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bivariate

(bī-văr′ē-ĭt, āt″) [″ + ″]
Pertaining to two variables.
References in periodicals archive ?
Comparison of Clayton-Frank Copula with Other Bivariate Copulas for Two Simulated Independent Random Variables.
Consequently, the dependent variables in the proposed model were bivariate accident severity levels in which the response of interest referred to death and injury (DI), and material damage (MD) was treated as the contrast.
After controlling the age as a constant factor, the bivariate logistic analysis revealed that herd and total animals at farm showed significant association with the occurrence of Paratuberculosis.
involving inferential analysis of more than two groups/variables, in addition to bivariate analysis are not included here.
Our proposed (t,n) PSS scheme based on bivariate polynomials is introduced in Section 4.
In order to model these two variables obtained from blood transfusion data, the bivariate zero-inflated Poisson regression model was used.
In Section 2, we present the framework for the construction of univariate and bivariate families of subdivision schemes and their graphical and mathematical comparisons with Romani's families.
Volpi and Fiori [25] proposed a general, structure-based return period for the design and risk assessment of hydrological structures in a bivariate environment.
The approach requires marginal distributions, which financial analysts should know with some certainty, and bivariate copulas, which have well-understood statistical properties.
The expression for the asymptotic left tail dependence of a bivariate symmetric t distribution is given by,
Estimation results of the bivariate EGARCH models offer evidence that the shock transmission between the two series is mainly asymmetric, that is, positive and negative shocks impart varying degrees of volatility on the series under study.
Specifically for two dimensions, Azzalini and Dalla Valle (1996) described the bivariate skew-normal density function of [Z'.bar] = ([Z.sub.1], [Z.sub.2]) as