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Statistica Sinica 4(1994), 325-334


TWO KINDS OF MEASURES OF DEPARTURE FROM

SYMMETRY IN SQUARE CONTINGENCY TABLES

HAVING NOMINAL CATEGORIES


Sadao Tomizawa


Science University of Tokyo


Abstract: Two kinds of measures are proposed to represent the degree of departure from symmetry about the main diagonal of square contingency tables having the same nominal row and column classifications. One measure is expressed by using the Kullback-Leibler information (or the average of conditional Shannon entropy), and the other is expressed by using the Pearson's chi-squared type discrepancy (or the average of conditional Gauss discrepancy). These measures would be useful for comparing the degree of departure from symmetry in several tables.



Key words and phrases: Gauss discrepancy, Kullback-Leibler information, Pearson's chi-squared type discrepancy, Shannon entropy.



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