RT Journal Article
T1 Minimum K-phi-divergence estimator
A1 Pérez, T.
A1 Pardo Llorente, Julio Ángel
AB In the present work, the problem of estimating parameters of statistical models for categorical data is analyzed. The minimum K-phi-divergence estimator is obtained minimizing the K-phi-divergence measure between the theoretical and the empirical probability vectors. Its asymptotic properties are obtained. Rom a simulation study, the conclusion is that our estimator emerges as an attractive alternative to the classical maximum likelihood estimator.
PB Pergamon-Elsevier Science
SN 0893-9659
YR 2004
FD 2004-04
LK https://hdl.handle.net/20.500.14352/50248
UL https://hdl.handle.net/20.500.14352/50248
LA eng
DS Docta Complutense
RD 4 ago 2025