  In this work we define log-linear models to compare several square
contingency tables under the quasi-independence or the quasi-symmetry model,
and the relevant Markov bases are theoretically characterized. Through Markov
bases, an exact test to evaluate if two or more tables fit a common model is
introduced. Two real-data examples illustrate the use of these models in
different fields of applications.
