Note that, for a more complicated jpdf, one needs to carry out the volume
integral for volume calculations.
As an exercise, let us determine the joint probability distribution function
and the marginal density functions of random variables X and Y defined in
Example 3.7.
The JPDF of X and Y is obtained from Equation (3.25). It is clear that
Within the region (0, 0) (x, y) (60, 60), we have
For marginal density functions, Equations (3.28) and (3.29) give us
y
x
60
60
010
R
10
y–x=10
x–y=10
Figure 3. 16 Region R in Example 3.7
Random Variables and Probability D istributions 59
RR
RfXY^9 x,y)dxdy
FXY
x;y
0 ; for
x;y<
0 ; 0 ;
1 ; for
x;y>
60 ; 60 :
FXY
x;y
Z y
0
Zx
0
1
3600
dxdy
xy
3600
:
fX
x
Z 60
0
1
3600
dy
1
60
; for 0x 60 ;
0 ; elsewhere: