Assume X1,..., Xn are i.i.d. N(0, 2). Let 2 n be the maximum likelihood estimator of

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Assume X1,..., Xn are i.i.d. N(0, σ2). Let σˆ 2 n be the maximum likelihood estimator of σ2 given by σˆ 2 n = n i=1 X2 i /n.

(i) Find the limiting distribution of √n(σˆ n − σ).

(ii) For a constant

c, let Tn,c = c n

i=1 |Xi|/n. For what constant c is Tn,c a consistent estimator of σ?

(iii) Determine the limiting distribution of √n(Tn,c − σ) with c chosen as your consistent estimator.

(iv) Determine the limiting distribution of √n log(σˆ n/Tn,c) (again with c chosen from (ii) above).

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Testing Statistical Hypotheses Volume I

ISBN: 9783030705770

4th Edition

Authors: E.L. Lehmann, Joseph P. Romano

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