方形列联表偏离点对称测度与测度分解

Kiyotaka Iki, S. Tomizawa
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引用次数: 1

摘要

对于有序范畴的方形列联表,Tomizawa, Biometrica J. 28(1986), 387 - 393,考虑了条件点对称模型。Kurakami et al ., J. Stat. Adv. Theory applied . 17(2017), 33 - 42,考虑了另一点对称和逆全局对称模型。本文提出了Kullback - Leibler信息型度量来表示与每个模型的偏离程度。本文还证明了另一种点对称模型的测度与另一种点对称模型的测度和条件点对称模型的测度相等的定理。©2021作者。这是一篇基于CC by-nc 4.0许可(http://creativecommons.org/licenses/by-nc/4.0/)的开放获取文章。
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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 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 modelisequaltothesumofthemeasuresforthereverseglobalsymmetrymodelandfortheconditionalpointsymmetrymodel. © 2021 The Authors . Published by Atlantis Press B.V. This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
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来源期刊
CiteScore
2.30
自引率
0.00%
发文量
13
审稿时长
13 weeks
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