Let X1,..., Xn be iid n(θ, θ2), θ > 0. For this model both and cS are

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Let X1,..., Xn be iid n(θ, θ2), θ > 0. For this model both and cS are unbiased estimators of θ, where
Let X1,..., Xn be iid n(θ, θ2), θ > 0.

(a) Prove that for any number a the estimator a + (l - a)(cS) is an unbiased estimator of θ.
(b) Find the value of a that produces the estimator with minimum variance.
(c) Show that (, S2) is a sufficient statistic for θ but it is not a complete sufficient statistic.

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Statistical Inference

ISBN: 978-0534243128

2nd edition

Authors: George Casella, Roger L. Berger

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