RT Journal Article
T1 Minimum (h,phi )-divergences estimators with weights
A1 Landaburu Jiménez, María Elena
A1 Pardo Llorente, Leandro
AB 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 reserved
PB Elsevier
SN 0096-3003
YR 2003
FD 2003-07-30
LK https://hdl.handle.net/20.500.14352/50114
UL https://hdl.handle.net/20.500.14352/50114
LA eng
NO DGI
DS Docta Complutense
RD 14 jun 2025