Measure of Departure from Point Symmetry and Decomposition of Measure for Square Contingency Tables

Measure of Departure from Point Symmetry and Decomposition of Measure for Square Contingency Tables

For square contingency tables with ordered categories, Tomizawa, Biometrica J. 28 (1986), 387–393, considered the conditional point symmetry model. Kurakami et al., J. Stat. Adv. Theory Appl. 17 (2017), 33–42, considered the another point symmetry and the reverse global symmetry model. The present p...

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Bibliographic Details
Main Authors: Kiyotaka Iki, Sadao Tomizawa
Format: Article
Language:English
Published: Atlantis Press 2021-01-01
Series:Journal of Statistical Theory and Applications (JSTA)
Subjects:
Conditional symmetry
Global symmetry
Kullback–Leibler information
Measure
Point symmetry
Square contingency table
Online Access:https://www.atlantis-press.com/article/125950415/view
Description
Summary:For square contingency tables with ordered categories, Tomizawa, Biometrica J. 28 (1986), 387–393, considered the conditional point symmetry model. Kurakami et al., J. Stat. Adv. Theory Appl. 17 (2017), 33–42, considered the another point symmetry and the reverse global symmetry model. The present paper proposes Kullback–Leibler information type measures to represent the degree of departure from each of the models. Also this paper shows a theorem that the measure for the another point symmetry model is equal to the sum of the measures for the reverse global symmetry model and for the conditional point symmetry model.
ISSN:2214-1766

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