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Statistics Discussion: Bayes Rules, Hypothesis Tests, Confidence Sets, and Consistency, Study notes of Mathematical Statistics

Solutions and exercises on various statistical concepts including bayes rules, minimax rules, hypothesis tests, confidence sets, and consistency. The examples provided involve probability density functions, loss functions, hypothesis testing, confidence intervals, and consistency of estimators.

Typology: Study notes

Pre 2010

Uploaded on 09/02/2009

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Download Statistics Discussion: Bayes Rules, Hypothesis Tests, Confidence Sets, and Consistency and more Study notes Mathematical Statistics in PDF only on Docsity! TA: Yuan Jiang Email: jiangy@stat.wisc.edu STAT 709: Discussion #17 November 8, 2007 1 Bayes Rules and Minimax Rules Example 1. Let X be a sample having a probability density fj(x) with respect to a σ-finite measure ν, where j is unknown and j ∈ {1, ..., J} with a known integer J ≥ 2. Consider a decision problem in which the action space is {1, ..., J} and the loss function is L(j, a) = { 0 if a = j 1 if a 6= j. (a) Obtain the risk of a decision rule (which may be randomized). (b) Let Π be a prior probability measure on {1, ..., J} with Π({j}) = πj , j = 1, . . . , J . Obtain the Bayes risk of a decision rule. (c) Obtain a Bayes rule under the prior Π in (b). (d) Assume that J = 2, π1 = π2 = 0.5, and fj(x) = φ(x − µj), where φ(x) is the Lebesgue density of the standard normal distribution and µj, j = 1, 2, are known constants. Obtain the Bayes rule in (c). (e) Obtain a minimax rule when J = 2. 2 Hypothesis Tests Example 2. Let X1, . . . , Xn be i.i.d. random variables having the exponen- tial distribution E(0, θ), θ ∈ (0,∞). Consider the hypothesis H0 : θ ≤ θ0 v.s. H1 : θ > θ0 where θ0 > 0 is a fixed constant. For the testing rule Tc(X) = 1(c,∞)(X̄): (a) Compute its size. (b) Find a cα such that Tcα has size α, where α is a given level of signifi- cance. (c) Find the p-value for Tcα. Office: 1275A MSC 1 Phone: 262-1577
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