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bivariate's Usage Examples:

In the case of only two random variables, this is called a bivariate distribution, but the concept generalizes to any number of random variables.

In probability theory and statistics, the bivariate von Mises distribution is a probability distribution describing values on a torus.

A polynomial with two indeterminates is called a bivariate polynomial.

evaporite, nonevaporative, vapid, vapidity, vapor, vaporescence, vaporescent, vaporific, vaporous vari- vary Latin variare bivariate, covariate, covariation,.

relationship, whether causal or not, between two random variables or bivariate data.

r, the Pearson product-moment correlation coefficient (PPMCC), or the bivariate correlation, is a measure of linear correlation between two sets of data.

that the vector of [XY]′ {\displaystyle {\text{[XY]′}}} is bivariate normal.

pronounced /ˈpɪərsən/), also referred to as Pearson"s r, the Pearson product-moment correlation coefficient (PPMCC), or the bivariate correlation, is a measure.

statistics, correlation or dependence is any statistical relationship, whether causal or not, between two random variables or bivariate data.

The bivariate case in terms of variables x and y has the form f ( x , y ) a x 2 +.

pronounced /ˈpɪərsən/), also referred to as Pearson"s r, the Pearson product-moment correlation coefficient (PPMCC), or the bivariate correlation, is.

Thus, we consider a curve defined by an implicit equation f(x,y)0, where is a differentiable function of two variables, commonly a bivariate polynomial.

In contrast, in the bivariate probit model there are two binary dependent variables Y 1 {\displaystyle.