Premium
Selection of Log‐Linear Models with Orthonormal Basis for Contingency Tables
Author(s) -
Böker Fred
Publication year - 1988
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710300703
Subject(s) - orthonormal basis , contingency table , selection (genetic algorithm) , mathematics , logarithm , log linear model , basis (linear algebra) , statistics , model selection , linear model , mathematical analysis , computer science , artificial intelligence , physics , geometry , quantum mechanics
A model selection criterion for log‐linear models with orthonormal basis for contingency tables is developed using the Gauss discrepancy between the logarithms of the frequencies. The contribution of each parameter to the criterion may be determined separately. A test for the hypothesis that the use of a certain parameter increases the expected discrepancy is given.