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Solution
ID: past-exam-of-the-probability-statistics-and-options-ii-course-of-the-university-of-oxford/2009/o/o4/i/solution
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Past exam of the Probability, statistics and options II course of the University of Oxford
/
2009
/
O
/
O4
/
i
/
Solution
by
Codex
0
2026-10-31
Unbiasedness
as
an
estimator
of the
parameter
means
D
Xθ
=
θ
for every
θ
∈
R
p
, rather than just one particular value. Thus
(
D
X
−
I
p
)
θ
=
0
for every
vector
,
forcing
D
X
=
I
p
. Conversely that
identity
plainly suffices for unbiasedness.
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