whereX is the sample mean based on a sample of size n. The choice of 1 is
intuitively obvious since , and the choice of 2 is based on a prior
probability argument that is not our concern at this point.
Since
and
we have
and
We see from the above that, although 2 is a biased estimator, its variance is
smaller than that of 1 , particularly when n is of a moderate value. This is
(a) (b)
Figure 9.2 Probability density functions of 1 and 2
Parameter Estimation 273
^
EfXg ^
EfXg;
^2 X
1
n
Ef^ 1 g;
Ef^ 2 g
n 1
n 2
;
9
=
;
9 : 45
^2 ^ 1
1
n
;
^2 ^ 2
n^2
n 2 ^2
^2 X
n
1
n 2 ^2
:
9
>>>
=
>>
>;
9 : 46
^
^
θ θ
fΘ∧ 2 (∧θ 2 )
fΘ∧ 1 (∧θ 1 )
fΘ∧ 2 (∧θ 2 )
fΘ∧ 1 (∧θ 1 )
θ 1 ,θ 2
∧∧
θ∧∧ 1 ,θ 2
^ ^