A central limit theorem for generalized trimmed h-means is obtained in a ve
ry general framework that covers the multivariate setting, general penalty
functions and general k greater than or equal to 1.
Several applications, including the location estimator case (k = 1) for ell
iptical distributions and the construction of multivariate (not necessarily
connected) tolerance zones, are also given.