Publication Date:
2006
abstract:
This article introduces estimators defined as minimizers of Kantorovich distances between statistical models and
empirical distributions. Existence, measurability and consistency of these estimators are studied. A few significant
examples illustrate the applicability of the theoretical results dealt with in the paper.
Iris type:
01.01 Articolo in rivista
Keywords:
Consistency of point estimators; Minimum dissimilarity estimators; Minimum Kantorovich distance estimators
List of contributors:
Regazzini, Eugenio; Bodini, Antonella
Published in: