Handbook of Probability (Wiley Handbooks in Applied Statistics) by Florescu Ionut & Tudor Ciprian A
Author:Florescu, Ionut & Tudor, Ciprian A. [Florescu, Ionut]
Language: eng
Format: epub
Publisher: Wiley
Published: 2013-10-28T00:00:00+00:00
We will treat separately the discrete and continuous random vectors.
7.3.3 Discrete Random Vectors
Definition 7.8 We will say that a random vector is discrete if X(Ω) is a finite or countable subset of .
In the single-variable case, the probability function of a discrete random variable X assigns nonzero probabilities to a countable number of distinct values of X such that the sum of the probabilities is equal to 1. Similarly, in the bivariate case (two-dimensional random vector) the joint probability function p(x, y) assigns nonzero probabilities to only a countable number of pairs of values (x, y). Further, the nonzero probabilities must sum to 1.
Remark 7.9 In this case the law of X = (X1, X2, …, XN) is completely determined by the set X(Ω) and the probabilities
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