For the m-way contingency table, we consider models that describe the possible multiplicative interactions among the m variables of the table, and we show how to select models that fit the data in the ...

A wide variety of paired-comparison experiments and surveys may be viewed within the framework of "incomplete" contingency table analysis. Bradley-Terry models for such data can be chosen and further ...

Ordinary linear regression (OLR) assumes that response variables are continuous. Generalized Linear Models (GLMs) provide an extension to OLR since response variables can be discrete (e.g. binary or ...