Skip to main content
Article thumbnail
Location of Repository

Minimum (h,phi )-divergences estimators with weights

By María Elena Landaburu Jiménez and Leandro Pardo Llorente


We consider experiments involving the observation of a discrete random variable, or quantitative classification process and we also assume that in addition to probability of each value or class we know its "utility" or "weight" (or more precisely, we can quantify the "nature" of each value or class). In this paper a procedure of minimum divergence estimation based on (h;phi)-divergences is analyzed, for the considered experiments, and its asymptotic behaviour is studied. (C) 2002 Elsevier Science Inc. All rights reserve

Topics: Probabilidades
Publisher: Elsevier
Year: 2003
DOI identifier: 10.1016/S0096-3003(02)00188-1
OAI identifier:
Provided by: EPrints Complutense
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • (external link)
  • (external link)
  • (external link)
  • (external link)
  • Suggested articles

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.