5. Let X U(,2). (a) Show that (X(1),X(n)) is jointly sufficient statistic for . (b) Verify...
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5. Let X ∼ U(θ,2θ).
(a) Show that (X(1),X(n)) is jointly sufficient statistic for θ.
(b) Verify whether or not (X(n)
− X(1)) is an unbiased estimator of θ. Find an ancillary statistic.
(c) D etermine the best invariant estimator of θ under the loss function L(θ,a) =
1− a
θ
2.
6. Let fθ(x) =
1 2
exp{−|x−θ|}.
Find the Pitman estimator of θ.
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Related Book For
An Introduction To Probability And Statistics
ISBN: 9781118799642
3rd Edition
Authors: Vijay K. Rohatgi, A. K. Md. Ehsanes Saleh
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