id N(u, 4), where µ E R is the unknown parameter. Find the unbiased estimator for µ² that is a function of (5) Let x1, X2, , Xn the MLE estimator of µ². The following `answers" have been proposed. (a) The unbiased estimator of 4² that is a function of the MLE is - E1x?. (b) The unbiased estimator of 42 that is a function of the MLE is ( E1X;)*. 2 (c) The unbiased estimator of „2 that is a function of the MLE is (;1X;)´ – (d) The unbiased estimator of u² that is a function of the MLE is ( E1X; – )". - (e) None of the above. The correct answer is (a) (b) (c) (d) (e) N/A (Select One)

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Author:Amos Gilat
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MLE: Maximum likelihood estimation

iid
N (µ, 4), where µ E R is the unknown parameter. Find the unbiased estimator for 42 that is a function of
(5) Let x1, X2, … , Xn
the MLE estimator of µ².
The following "answers" have been proposed.
(a) The unbiased estimator of µ² that is a function of the MLE is - E,x?.
(b) The unbiased estimator of u? that is a function of the MLE is (G E1X;)*.
(c) The unbiased estimator of µ² that is a function of the MLE is (- E1X;)¯-
(d) The unbiased estimator of µ2 that is a function of the MLE is (G 2=Xi - ).
(e) None of the above.
The correct answer is
(a)
(b)
(c)
(d)
(e)
N/A
(Select One)
Transcribed Image Text:iid N (µ, 4), where µ E R is the unknown parameter. Find the unbiased estimator for 42 that is a function of (5) Let x1, X2, … , Xn the MLE estimator of µ². The following "answers" have been proposed. (a) The unbiased estimator of µ² that is a function of the MLE is - E,x?. (b) The unbiased estimator of u? that is a function of the MLE is (G E1X;)*. (c) The unbiased estimator of µ² that is a function of the MLE is (- E1X;)¯- (d) The unbiased estimator of µ2 that is a function of the MLE is (G 2=Xi - ). (e) None of the above. The correct answer is (a) (b) (c) (d) (e) N/A (Select One)
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