RT Journal Article
T1 A simulation study of a nested sequence of binomial regression models
A1 Pardo Llorente, Julio Ángel
A1 Pardo Llorente, Leandro
A1 Pardo Llorente, María del Carmen
AB The inference problem we consider is that of model choice from a nested sequence of binomial regression models. The approach we take is to test successively, from most general to most specific, the corresponding sequence of composite hypotheses. This approach is based on the very general class of divergence measures, the phi-divergence. An approximation to the power function of the new family of test statistics proposed is obtained. An extensive simulation study is carried out by obtaining new test statistics that are a good alternative to the traditional loglikelihood test statistic.
PB Taylor & Francis
SN 0233-1888
YR 2007
FD 2007
LK https://hdl.handle.net/20.500.14352/50233
UL https://hdl.handle.net/20.500.14352/50233
LA eng
DS Docta Complutense
RD 13 abr 2025