DOAJ Open Access 2021

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

Kiyotaka Iki Sadao Tomizawa

Abstrak

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.

Topik & Kata Kunci

Probabilities. Mathematical statistics

Penulis (2)

Kiyotaka Iki

Sadao Tomizawa

Format Sitasi

APA MLA BibTeX

Iki, K., Tomizawa, S. (2021). Measure of Departure from Point Symmetry and Decomposition of Measure for Square Contingency Tables. https://doi.org/10.2991/jsta.d.201223.001

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Informasi Jurnal

Tahun Terbit: 2021
Sumber Database: DOAJ
DOI: 10.2991/jsta.d.201223.001
Akses: Open Access ✓