subject: Joint Distribution Table [print this page] Introduction to joint distribution table:
In the study of joint probability, given two random variables X and Y defined on the same probability space, the joint distribution for X and Y defines the probability of events defined in terms of both X and Y. in joint distribution the two random variables are said to be bivariate distribution but the concept generalizes to any number of random variables, giving a multivariate distribution
Example of Joint Distribution Table of Random Variables:
Joint Distribution Function:
A joint distribution function is said to be a distribution function D(x,y), in which two variables are defined by
D(x,y) = p ( X'oo)' D(x,y)
Dy(y) = 'lim_(x->oo)'D(x,y) ,
these functions will satiesfies the following conditions ,they are
