Multinomial-Poisson Homogeneous (MPH) models and Homogeneous Linear Predictor (HLP) Multinomial-Poisson models include as special cases many models for contingency table analysis that have been introduced in the effort to overcome well known limitations of the log-linear models. Here the definitions of MPH and HLP models are extended to include inequality constraints. It is shown that inequality constrained MPH and HLP models are a very flexible and rich family of models for contingency table analysis. The inequality constrained Hierarchical Multinomial Marginal models which are an important sub-class of MPH models are also examined

Multinomial Poisson Models subject to inequality constraints

COLOMBI, Roberto
2009-01-01

Abstract

Multinomial-Poisson Homogeneous (MPH) models and Homogeneous Linear Predictor (HLP) Multinomial-Poisson models include as special cases many models for contingency table analysis that have been introduced in the effort to overcome well known limitations of the log-linear models. Here the definitions of MPH and HLP models are extended to include inequality constraints. It is shown that inequality constrained MPH and HLP models are a very flexible and rich family of models for contingency table analysis. The inequality constrained Hierarchical Multinomial Marginal models which are an important sub-class of MPH models are also examined
journal article - articolo
2009
Cazzaro, Manuela; Colombi, Roberto
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/22943
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