This article gives two constructions of a weighted mean which has a
large domain, is affinely equivariant, has a locally high breakdown point and
is locally uniformly linearizable. One construction is based on $M$-functionals
with smooth defining $\psi$- and $\chi$ -functions which are used to control
the weighting. The second construction involves a locally uniformly
linearizable reduction of the data to a finite set of points. This construction
has the advantage of computational speed and opens up the possibility of
allowing the weighting to take the shape of the original data set into account.
Its disadvantage lies in its inability to deal with large atoms. The aim of the
locally uniform linearizability is to provide a stable analysis based on
uniform asymptotics or uniform bootstrapping. The stability of the first
construction is exhibited using different stochastic models and different data
sets. Its performance is compared with three other functionals which are not
locally uniformly linearizable.
@article{1024691090,
author = {Davies, P. L.},
title = {On locally uniformly linearizable high breakdown location and
scale functionals},
journal = {Ann. Statist.},
volume = {26},
number = {3},
year = {1998},
pages = { 1103-1125},
language = {en},
url = {http://dml.mathdoc.fr/item/1024691090}
}
Davies, P. L. On locally uniformly linearizable high breakdown location and
scale functionals. Ann. Statist., Tome 26 (1998) no. 3, pp. 1103-1125. http://gdmltest.u-ga.fr/item/1024691090/