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In: Statistics and Probability

Hello! I have a question about the following problem, not sure how to approach it... This...

Hello! I have a question about the following problem, not sure how to approach it...

This is from Mathematical Statistics and Data Analysis, Chapter 11, Problem 11.41

The Hodges-Lehmann shift estimate is defined to be d =median(Xi −Yj), where X1 , X2 , . . . , Xn are independent observations from a distribution F and Y1,Y2,...,Ym are independent observations from a distribution G and are independent of the Xi.

  1. Show that if F and G are normal distributions, then E(d) = μx − μy.

  2. Why is d robust to outliers?

  3. Use the bootstrap to approximate the sampling distribution and the standard error of d.

  4. From the bootstrap approximation to the sampling distribution, form an approximate 90% confidence interval for d

Thank you

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