bivariate


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bi·var·i·ate

 (bī-vâr′ē-ĭt, -āt′)
adj.
Mathematics Having two variables: bivariate binomial distribution.

bivariate

(baɪˈvɛərɪɪt)
adj
(Statistics) statistics (of a distribution) involving two random variables, not necessarily independent of one another
ThesaurusAntonymsRelated WordsSynonymsLegend:
Adj.1.bivariate - having two variables; "bivariate binomial distribution"
math, mathematics, maths - a science (or group of related sciences) dealing with the logic of quantity and shape and arrangement
References in periodicals archive ?
multivariate logistic regression with backward elimination, bivariate logistic regression and after controlling the age and herd as a constant factor.
Further, we present a detailed comparison of the structure of bivariate versions of the models.
Features include a statistical application for univariate, bivariate and spatial analysis of geological data; a modern and intuitive user interface for batch creation, viewing and editing of graphs; and global refresh options for quick updates.
He describes the elementary concepts of reliability theory; commonly used statistical methods for evaluating component reliability; repairable systems and maintenance planning models; and statistical analysis of repairable system data, warranties, reliability growth, dependent components, and bivariate reliability.
Geo-statistical analyses such as univariate, bivariate and multivariate statistical analyses and geo-spatial analyses were performed on the data using various softwares.
1549) were utilized to fit a bivariate and multivariate investigation with Generalized slightest Modeling (GLM), anticipating determinants of lifetime fertility utilizing Poisson regression.
The construction of univariate subdivision schemes by different variants of Lane-Riesenfeld algorithm has been studied by few authors in [8, 11-13] and construction of bivariate subdivision schemes by a variant of Lane-Riesenfeld algorithm has been studied by Romani [8].
12] discussed the identification of suitable copulas for bivariate frequency analysis of flood peak and flood volume data, and Gumbel-Hougaard copula of Archimedean family was found to be the most suitable dependence model for flood peak and volume.
Certainly, credit rating agencies were not considering simple bivariate movements between two locations, but rather multivariate movements across many locations.
In this section, we consider the properties of the Gaussian null hypothesis test statistic against a family of alternative distributions nested within the bivariate skew-t distribution.
Therefore, we propose and estimate bivariate GARCH (1,1) and bivariate EG ARCH (1,1) models of the variances to ascertain the flow of information between futures prices and prices.