RT Journal Article
T1 Nonadditivity in loglinear models using phi-divergences and MLEs
A1 Pardo Llorente, Leandro
A1 Pardo Llorente, María del Carmen
AB In this paper three families of test statistics for testing nonadditivity in loglinear models are presented under the assumption of either Poisson, multinomial, or product-multinomial sampling. These new families are based on the phi-divergence measures. The standard method for testing nonadditivity is used, i.e., the two-stage tests procedure. In this procedure the parameters are first estimated using an additive model and then the estimates are treated as known constants for the second stage of the procedure. These test statistics, which are asymptotically chi-squared, generalize the likelihood ratio test for this problem given by Christensen and Utts (J. Statist. Plann. Inference 33 (1992) 333). An example and a simulation study are included.
PB Elsevier Science Bv
SN 0378-3758
YR 2005
FD 2005-01-01
LK https://hdl.handle.net/20.500.14352/50295
UL https://hdl.handle.net/20.500.14352/50295
LA eng
NO DGI
DS Docta Complutense
RD 8 jun 2025