Data di Pubblicazione:
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.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Consistency of point estimators; Minimum dissimilarity estimators; Minimum Kantorovich distance estimators
Elenco autori:
Regazzini, Eugenio; Bodini, Antonella
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