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 | 

