6 papers
A family of divergence-based correlation measures for contingency tables under bivariate normality
Wataru Urasaki
We propose a family of association measures for two-way contingency tables whose latent distribution can be assumed to be bivariate normal. When this assumption holds, the power-di…
Association measures for two-way contingency tables based on multi-categorical proportional reduction in error
Wataru Urasaki, Kouji Tahata, Sadao Tomizawa
In two-way contingency tables under an asymmetric situation, where the row and column variables are defined as explanatory and response variables, respectively, quantifying the ext…
A measure of departure from symmetry via the Fisher-Rao distance for contingency tables
Wataru Urasaki, Go Kawamitsu, Tomoyuki Nakagawa +1
A measure of asymmetry is a quantification method that allows for the comparison of categorical evaluations before and after treatment effects or among different target populations…
Visualization for departures from symmetry with the power-divergence-type measure in two-way contingency tables
Wataru Urasaki, Tomoyuki Nakagawa, Jun Tsuchida +1
When the row and column variables consist of the same category in a two-way contingency table, it is specifically called a square contingency table. Since it is clear that the squa…
Geometric Mean Type of Proportional Reduction in Variation Measure for Two-Way Contingency Tables
Wataru Urasaki, Yuki Wada, Tomoyuki Nakagawa +2
In a two-way contingency table analysis with explanatory and response variables, the analyst is interested in the independence of the two variables. However, if the test of indepen…
Generalized Cramér's coefficient via -divergence for contingency tables
Wataru Urasaki, Tomoyuki Nakagawa, Tomotaka Momozaki +1
Various measures in two-way contingency table analysis have been proposed to express the strength of association between row and column variables in contingency tables. Tomizawa et…