I am confused about this. Are they the same? There are some problems in which I am asked to find the Uniformly Minimum Variance Unbiased Estimator (UMVUE) first and then check if it achieves the CRLB. Yet from what I've read, I understand that an unbiased estimator that achieves CRLB is UMVUE. Thanks.
$\begingroup$
$\endgroup$
1
-
$\begingroup$ stats.stackexchange.com/questions/436384/… $\endgroup$ – StubbornAtom Jan 13 '20 at 16:29
Add a comment
|
$\begingroup$
$\endgroup$
2
They are not the same. Achieving the CR lower bound is a sufficient condition for an unbiased estimator to be UMVUE. However, it is not necessary.
For example, Example 3.10 in this link gives an estimator that is UMVUE (by the Lehmann-Scheffe theorem) but does not attain the CR Lower bound.
-
$\begingroup$ Is there a general procedure for finding UMVUEs without the use of CRLB? $\endgroup$ – user164144 Jul 6 '17 at 1:02
-
1$\begingroup$ @user164144 Yes, if the unbiased estimator is a function of a complete sufficient statistic, then it is the UMVUE. This is the Lehmann-Scheffe theorem. In particular, let $T$ be a complete sufficient statistic and $S$ an unbiased estimator. Then $E[S | T]$ gives the UMVUE. $\endgroup$ – Flowsnake Jul 6 '17 at 1:03
