RT Journal Article
T1 Minimum Phi-divergence estimators for loglinear models with linear constraints and multinomial sampling
A1 Martín Apaolaza, Níriam
A1 Pardo Llorente, Leandro
AB In this paper the family of phi-divergence estimators for loglinear models with linear constraints and multinomial sampling is studied. This family is an extension of the maximum likelihood estimator studied by Haber and Brown (1986). A simulation study is presented and some alternative estimators to the maximum likelihood are obtained.
PB Springer Verlag
SN 0932-5026
YR 2008
FD 2008-01
LK https://hdl.handle.net/20.500.14352/50268
UL https://hdl.handle.net/20.500.14352/50268
LA eng
NO DGES
DS Docta Complutense
RD 8 abr 2025