Let us define a new random variable Y by
Equation (9.30) shows that
Moreover, since Y is a sum of n independent random variables, each with mean
zero and variance the variance of Y is the sum of the n
variances and has the form
N ow, it follows from Equation (9.29) that
R ecall that
or
As a consequence of property^2 1, we finally have
or, using Equation (9.32),
The proof is now complete.
In the above, we have assumed that differentiation with respect to under an
integral or sum sign are permissible. Equation (9.26) gives a lower bound on the
268 Fundamentals of Probability and Statistics for Engineers
Y
Xn
j 1
qlnf
Xj;
q
: 9 : 31
EfYg 0 :
Ef[qlnfX;)/q]^2 g,
^2 YnE
qlnf
X;
q
) 2
: 9 : 32
1 Ef^Yg:
9 : 33
Ef^YgEf^gEfYg^Y^Y;
1 0 ^Y^Y: 9 : 34
1
^2 ^^2 Y
1 ;
^2 ^
1
^2 Y
nE
qlnf
X;
q