Orthogonal Decomposition of the Anti-Symmetry Model via the Anti-Two-Ratios-Parameter Symmetry Model for Square Contingency Tables
DOI:
https://doi.org/10.29020/nybg.ejpam.v19i2.7771Keywords:
Anti-symmetry model, Anti-diagonal symmetry, Goodness-of-fit test, Likelihood ratio statistic, Orthogonal decomposition, Square contingency tableAbstract
This paper proposes the anti-two-ratios-parameter symmetry (ATRPS) model for square contingency tables with ordered categories. The proposed model provides a parsimonious two-parameter extension of the anti-symmetry model, separates a global ratio effect from an anti-
diagonal-distance effect, contains the anti-conditional symmetry and anti-linear-diagonals-parameter symmetry models as special cases, and is nested within the anti-diagonals-parameter symmetry model. By applying a column-reversal transformation, we show that the anti-symmetry model holds if and only if the ATRPS, anti-global symmetry, and anti-marginal mean equality models hold simultaneously; equivalently, it holds if and only if the ATRPS and AGSME models hold simultaneously. We also establish an asymptotic orthogonal decomposition of the likelihood ratio statistic. An analysis of grip strength data illustrates the proposed methodology and shows that the departure from anti-symmetry is almost entirely attributable to the AGSME component.
References
Published
Issue
Section
License
Copyright (c) 2026 Shuji Ando

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Upon acceptance of an article by the European Journal of Pure and Applied Mathematics, the author(s) retain the copyright to the article. However, by submitting your work, you agree that the article will be published under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). This license allows others to copy, distribute, and adapt your work, provided proper attribution is given to the original author(s) and source. However, the work cannot be used for commercial purposes.
By agreeing to this statement, you acknowledge that:
- You retain full copyright over your work.
- The European Journal of Pure and Applied Mathematics will publish your work under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
- This license allows others to use and share your work for non-commercial purposes, provided they give appropriate credit to the original author(s) and source.