Unformatted text preview: n that (4.11) also holds when A and B are ﬁnite unions of intervals,
and then for all choices of A and B.
Recall that for discrete-type random variables it is usually easier to work with pmfs, and for
jointly continuous-type random variables it is usually easier to work with pdfs, than with CDFs.
Fortunately, in those instances, independence is also equivalent to a factorization property for a
joint pmf or pdf. Therefore, discrete-type random variables X and Y are independent if and only
if the joint pmf factors:
pX,Y (u, v ) = pX (u)pY (v ),
for all u, v. And for jointly continuous-type random variables, X and Y are independent if and only
if the joint pdf factors:
fX,Y (u, v ) = fX (u)fY (v ). 4.4.2 Determining from a pdf whether independence holds Suppose X and Y are jointly continuous with joint pdf fX,Y . So X and Y are independent if and
only if fX,Y (u.v ) = fX (u)fY (v ) for all u and v. It takes a little practice to be able to tell, given
a choice of fX,Y , whether independence holds. Some propositions are given in this section th...
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This note was uploaded on 02/09/2014 for the course ISYE 2027 taught by Professor Zahrn during the Spring '08 term at Georgia Tech.
- Spring '08
- The Land