Template-Type: ReDIF-Paper 1.0
Author-Name: Groenen, P.J.F.
Author-Name-Last: Groenen
Author-Name-First: Patrick
Author-Person: pgr229
Author-Name: Koning, A.J.
Author-Name-Last: Koning
Author-Name-First: Alex
Title: Generalized bi-additive modelling for categorical data
Abstract: Generalized linear modelling (GLM) is a versatile technique, which may be viewed as a generalization of well-known techniques such as least squares regression, analysis of variance, loglinear modelling, and logistic regression. In may applications, low-order interaction (such as bivariate interaction) terms are included in the model. However, as the number of categorical variables increases, the total number of low-order interactions also increases dramatically. In this papaer, we propose to constrain bivariate interactions by a bi-additive model which allows a simple graphical representation in which each category of every variable is represented by a vector.
Creation-Date: 2004-03-17
File-URL: https://repub.eur.nl/pub/1194/ei200405.pdf
File-Format: application/pdf
Series: RePEc:ems:eureir
Number: EI 2004-05
Handle: RePEc:ems:eureir:1194