[
Ando, S. (2021a): Orthogonal decomposition of the sum-symmetry model for square contingency tables with ordinal categories: Use of the exponential sum-symmetry model. Biometrical Letters 58: 95–104.
]Search in Google Scholar
[
Ando, S. (2021b): Orthogonal decomposition of the sum-symmetry model using the two-parameters sum-symmetry model for ordinal square contingency tables. Biometrical Letters 58: 105–117.
]Search in Google Scholar
[
Ando, S. (2021c): An anti-sum-symmetry model and its orthogonal decomposition for ordinal square contingency tables with an application to grip strength test data. Biometrical Letters 58: 59–68.
]Search in Google Scholar
[
Ando, S. (2022): Orthogonal decomposition of symmetry model using sum-symmetry model for ordinal square contingency tables. Chilean Journal of Statistics 13: 21–231.
]Search in Google Scholar
[
Ando, S. (2023): Anti-sum-asymmetry models and orthogonal decomposition of anti-sum-symmetry model for ordinal square contingency tables. Austrian Journal of Statistics 52: 72–86.
]Search in Google Scholar
[
Ando, S. (2024): An index for measuring departure from an anti-sum-symmetry model for square contingency tables with ordered categories. Biometrical Letters 61: 101–113.
]Search in Google Scholar
[
Ando, S., Noguchi, T., Ishii, A. and Tomizawa, S. (2021): A two-dimensional index for marginal homogeneity in ordinal square contingency tables. SUT Journal of Mathematics 57: 211–224.
]Search in Google Scholar
[
Ando, S., Tahata, K. and Tomizawa, S. (2017): Visualized measure vector of departure from symmetry for square contingency tables. Statistics in Biopharmaceutical Research 9: 212–224.
]Search in Google Scholar
[
Bishop, Y. M., Fienberg, S. E., Holland, P. W. (2007): Discrete Multivariate Analysis: Theory and Practice. Springer, New York.
]Search in Google Scholar
[
Bowker, A. H. (1948): A test for symmetry in contingency tables. Journal of the American Statistical Association 43: 572–574.
]Search in Google Scholar
[
McCullagh, P. (1978): A class of parametric models for the analysis of square contingency tables with ordered categories. Biometrika 65: 413–418.
]Search in Google Scholar
[
Stuart, A. (1955): A test for homogeneity of the marginal distributions in a twoway classification. Biometrika 42: 412–416.
]Search in Google Scholar
[
Tahata, K., Miyazawa, K. and Tomizawa, S. (2010): Measure of departure from average cumulative symmetry for square contingency tables with ordered categories. American Journal of Biostatistics 1: 62–66.
]Search in Google Scholar
[
Tan, T. K. (2017): Doubly classified model with R. Singapore: Springer. Tomizawa, S. (1984): Three kinds of decompositions for the conditional symmetry model in a square contingency table. Journal of the Japan Statistical Society 14: 35–42.
]Search in Google Scholar
[
Tomizawa, S. (1993): Diagonals-parameter symmetry model for cumulative probabilities in square contingency tables with ordered categories. Biometrics 49: 883–887.
]Search in Google Scholar
[
Tomizawa, S., Miyamoto, N. and Hatanaka, Y. (2001): Measure of asymmetry for square contingency tables having ordered categories. The Australian and New Zealand Journal of Statistics 43: 335–349.
]Search in Google Scholar
[
Tomizawa, S., Miyamoto, N. and Ashihara, N. (2003): Measure of departure from marginal homogeneity for square contingency tables having ordered categories. Behaviormetrika 30: 173–193.
]Search in Google Scholar
[
Yamamoto, K., Ando, S. and Tomizawa, S. (2011): A measure of departure from average marginal homogeneity for square contingency tables with ordered categories. Revstat: Statistical Journal 9: 115–126.
]Search in Google Scholar
[
Yamamoto, K, Tanaka, Y., Tomizawa, S. (2013): Sum-symmetry model and its orthogonal decomposition for square contingency tables. SUT Journal of Mathematics 49: 121–128.
]Search in Google Scholar
