Back to Search Start Over

Separation of the refined estimator of the measure for symmetry in square contingency tables.

Authors :
Tahata, Kouji
Auchi, Ryohei
Ando, Shuji
Tomizawa, Sadao
Source :
Communications in Statistics: Simulation & Computation. 2024, Vol. 53 Issue 12, p6274-6290. 17p.
Publication Year :
2024

Abstract

Measures that represent the degree of departure from symmetry, global symmetry, and conditional symmetry have been proposed to analyze square contingency tables. Additionally, a refined estimator of the symmetry measure has been suggested. This study provides refined estimators of the measures for global symmetry and conditional symmetry, and shows the relationship between the proposed estimators and the refined estimator. The proposed estimators can be obtained by the second-order term in the Taylor series expansion. Simulations studies demonstrate that as the sample size increases, the proposed estimators approach the true values faster than the former estimators. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03610918
Volume :
53
Issue :
12
Database :
Academic Search Index
Journal :
Communications in Statistics: Simulation & Computation
Publication Type :
Academic Journal
Accession number :
181549822
Full Text :
https://doi.org/10.1080/03610918.2023.2231184