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Random Variables Applications - University of Texas at Dallas
Bivariate distributions, also called joint distribu-tions, are probabilities of combinations of two variables. For discrete variables X and Y, the joint probability dis-tribution or joint probability mass function of X and Y is defined as: P(x,y) ≡ P(X = x and Y = y) for all pairs of values x and y. As in the univariate case, we require:
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