RT Journal Article
T1 Minimum phi-divergence estimator and hierarchical testing in loglinear models
A1 Cressie, Noel A.
A1 Pardo Llorente, Leandro
AB In this paper we consider inference based on very general divergence measures, under assumptions of multinomial sampling and loglinear models. We define the minimum phi-divergence estimator, which is seen to be a generalization of the maximum likelihood estimator. This estimator is then used in a phi-divergence goodness-of-fit statistic, which is the basis of two new statistics for solving the problem of testing a nested sequence of loglinear models.
PB Statistica sinica
SN 1017-0405
YR 2000
FD 2000-07
LK https://hdl.handle.net/20.500.14352/57868
UL https://hdl.handle.net/20.500.14352/57868
LA eng
DS Docta Complutense
RD 4 abr 2025