Marginal probability mass function

Let X_i be the i-th component of a Kx1 discrete random vector X having joint probability mass function [eq1] and support R_X. The probability mass function of X_i - called marginal probability mass function of X_i and denoted by [eq2] - is obtained from the joint probability mass function as follows:[eq3]where the sum is over the set:[eq4]In other words, the marginal probability mass function of X_i at the point x is obtained summing the joint probability mass function over all the vectors that belong to the support R_X and are such that their i-th component is equal to x.

A more detailed discussion of the marginal probability mass function can be found in the lecture entitled Random vectors.

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