In this paper we consider a partial ordering that is "between" the stochastic ordering defined by Lehmann (1955) and an ordering associated with the monotone likelihood ratio property. A tail ordering deduced from it is applied to the comparison of the asymptotic efficiencies of rank tests in the two-sample problem. In particular, we show that the asymptotic relative efficiency of two rank tests preserve this tail ordering if one score function is "more convex" than the other.
@article{1176350715,
author = {Caperaa, Philippe},
title = {Tail Ordering and Asymptotic Efficiency of Rank Tests},
journal = {Ann. Statist.},
volume = {16},
number = {1},
year = {1988},
pages = { 470-478},
language = {en},
url = {http://dml.mathdoc.fr/item/1176350715}
}
Caperaa, Philippe. Tail Ordering and Asymptotic Efficiency of Rank Tests. Ann. Statist., Tome 16 (1988) no. 1, pp. 470-478. http://gdmltest.u-ga.fr/item/1176350715/