Hence, as n
Now, substituting Equation (4.94) into Equation (4.87) gives
which can be evaluated following a change of variables defined by
The result is
The above is an example of a bivariate normal distribution, to be discussed in
Section 7.2.3.
Inciden tally, the jo int moments of X and Y can be readily found by means of
Equation (4.88). For large n, the means of X and Y, 10 and 01 ,are
Similarly, the second moments are
Expectations and Moments 111
!1,
XY
t;se
t
(^2) tss (^2)
:
4 : 94
fXY
x;y
1
4 ^2
Z 1
1
Z 1
1
ej
txsye
t
(^2) tss (^2)
dtds;
4 : 95
t
t^0 s^0
2
p ; s
t^0 s^0
2
p :
4 : 96
fXY
x;y
1
2
3
p exp
x^2 xyy^2
3
: 4 : 97
10 j
qXY
t;s
qt
t;s 0
j
2 tse
t
(^2) tss (^2)
t;s 0
0 ;
01 j
qXY
t;s
qs
t;s 0
0 :
20 EfX^2 g
q^2 XY
t;s
qt^2
t;s 0
2 ;
02 EfY^2 g
q^2 XY
t;s
qs^2
t;s 0
2 ;
11 EfXYg
q^2 XY
t;s
qt@s
t;s 0