Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 13-29 |
| Number of pages | 17 |
| Journal | JOURNAL OF ALGEBRAIC STATISTICS |
| Volume | 10 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Jan 2019 |
| Externally published | Yes |
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