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stat.ME2025
A Directional Measure of Marginal Inhomogeneity for Square Contingency Tables using Discrete-time hazard
Jun Tamura, Satoru Shinoda
In the analysis of square contingency tables with ordered categories, it is essential to assess deviations from marginal homogeneity (MH) when marginal equivalency between row and…
stat.ME2025
Statistical Inference of the Matthews Correlation Coefficient for Multiclass Classification
Jun Tamura, Yuki Itaya, Kenichi Hayashi +1
Classification problems are essential statistical tasks that form the foundation of decision-making across various fields, including patient prognosis and treatment strategies for…
stat.ME2024
Asymptotic Properties of Matthews Correlation Coefficient
Yuki Itaya, Jun Tamura, Kenichi Hayashi +1
Evaluating classifications is crucial in statistics and machine learning, as it influences decision-making across various fields, such as patient prognosis and therapy in critical…