Let X1 Xn be a random sample from a pdf that is symmetri

Let X1, . . . , Xn be a random sample from a pdf that is symmetric about . An estimator for that has been found to perform well for a variety of underlying distributions is the HodgesLehmann estimator. To define it, first compute for each i j and each j = 1, 2, . . . , n the pairwise average

Xi,j = (Xi + Xj)/2.

Xi,j\'s.

Compute the value of this estimate using the data below. [Hint: Construct a square table with the xi\'s listed on the left margin and on top. Then compute averages on and above the diagonal.]

Please show steps/explain!

28.3 29.5 26.4 30.7 23.6 29.6 28.1 49.4 31.7 34.0

Solution

Now we find median of the values in the second column. M=28.7

xi pairwise average Xij
28.3 28.9
29.5 27.95
26.4 28.55
30.7 27.15
23.6 26.6
29.6 28.85
28.1 38.75
49.4 40.55
31.7 32.85
34 17
Let X1, . . . , Xn be a random sample from a pdf that is symmetric about . An estimator for that has been found to perform well for a variety of underlying dist

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