Exercise7.4 Consider asingleobservation Y N (,2), where || a and is known.We wanttoestimatetheunknown
Question:
Exercise7.4 Consider asingleobservation Y ∼ N (μ,σ2), where |μ| ≤ a and σ is known.We wanttoestimatetheunknown μ by alinearestimatoroftheform ˆ μc = cY, c ∈ R.
1. Find theminimaxlinearestimatorw.r.t.thequadraticloss.Isitadmissible(withinthefamilyof linear estimators)?Whatistheminimaxrisk?
2. Is ˆ μ1 =Y an admissibleestimator?
3. Showthattheleastfavorablepriorfor μ is adegeneratetwo-pointprior π
(a) = π(−a) = 0.5.
4. Extend thepreviousparagraphandshowthat,infact,anyprior π(μ) with thesecondmoment Eπμ2 = a2 is leastfavorable.
5. Assume anoninformativeuniformprior U (−a,a) on μ and findtheresultingBayesestimator w.r.t.thequadraticloss.Isitadmissible?
6. Showthatgenerally, ˆ μc is admissiblefor0 ≤ c < 1 (withinafamilyoflinearestimators)andis inadmissible otherwise.
(Hint: consideranyprioron μ with support (−a,a) and finitesecondmoment,andfindthe corresponding Bayeslinearestimator.)
Step by Step Answer:
Statistical Theory A Concise Introduction Texts In Statistical Science
ISBN: 9781032007458
2nd Edition
Authors: Felix Abramovich, Ya'acov Ritov