5.5.4. Let Y1, Y2, ..., Yn be a random sample from the uniform pdf fy(y; 0) = 1/0, 0 ≤ y ≤ 0. Compare the Cramér-Rao lower bound for fy (y; 0) with the variance of the unbiased estimator ê = "+1 Ymax. Discuss.

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5.5.4. Let Y1, Y2, ..., Yn be a random sample from the
uniform pdf fy(y; 0)
=
1/0, 0 ≤ y ≤ 0. Compare the
Transcribed Image Text:5.5.4. Let Y1, Y2, ..., Yn be a random sample from the uniform pdf fy(y; 0) = 1/0, 0 ≤ y ≤ 0. Compare the
Cramér-Rao lower bound for fy (y; 0) with the variance of
the unbiased estimator ê = "+1
Ymax. Discuss.
Transcribed Image Text:Cramér-Rao lower bound for fy (y; 0) with the variance of the unbiased estimator ê = "+1 Ymax. Discuss.
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