Toleman, Mark (1982) Model selection for four- and higher-dimensional tables. In: 1982 Workshop on Biometrical Techniques, 21-23 April 1982, Brisbane, Australia.
PDF (Accepted Version)
As the number of dimensions of the contingency table increases so does the number of possible hierarchical log-linear models. For example, for three dimensions there are eight models and for four dimensions there are 113 models (Bishop et al, 1975). Obviously we cannot test the fit of all these models so we need a method of selecting terms to be included in our 'best fit' model. There is no best method for selecting a log-linear model just as there is no best method for variable selection in multiple regression. Three methods of model selection are discussed, each in the context of a single data set. The program GLIM is used throughout to fit models.
Statistics for this ePrint Item
|Item Type:||Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)|
|Item Status:||Live Archive|
|Additional Information (displayed to public):||No evidence of copyright restrictions.|
|Depositing User:||Mrs Rae Jones|
|Faculty / Department / School:||Historic - Faculty of Business - Department of Information Systems|
|Date Deposited:||30 Sep 2010 02:27|
|Last Modified:||02 Jul 2013 23:19|
|Uncontrolled Keywords:||GLIM; generalised linear interactive modelling|
|Fields of Research (FoR):||01 Mathematical Sciences > 0104 Statistics > 010402 Biostatistics|
Actions (login required)
|Archive Repository Staff Only|