Loglinear models: an approach based on divergences
- Autores: L. Pardo
- Localización: VII Jornadas Zaragoza-Pau de Matemática Aplicada y estadística: Jaca (Huesca). 17-18 de septiembre de 2001 / coord. por Monique Madaune-Tort
, 2003, ISBN 84-96214-04-4, págs. 469-482 - Idioma: inglés
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Resumen
In this paper we present a review of some results about inference based on o-divergence measures, under assumptions of multinomial sampling and loglinear models. The minimum o-divergence estimator, which is seen to be a generalization of the maximum likelihood estimator is considered. This estimator is used in a o-divergence measure which is the basis of new statistics for solving three important problems of testing regarding loglinear models: Goodness-of-fit, nested sequence of loglinear models and nonadditivity in loglinear models.
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