A Test for Asymmetry Associated with the Hodges-Lehmann Estimator

Abstract One version of the Hodges-Lehmann estimator, = median{(Xi + Xj )/2, 1 ≤ i, j ≤ n}, is also the minimum distance estimator derived from a particular Cramer-von Mises distance. This distance evaluated at , that is, the minimized distance, provides a natural statistic for testing asymmetry of the underlying distribution.

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