Extended diagonal uniform association symmetry model for square contingency tables with ordinal categories

Shuji Ando; Kouji Tahata; Sadao Tomizawa

doi:10.1016/j.spl.2020.108973

Extended diagonal uniform association symmetry model for square contingency tables with ordinal categories

Shuji Ando, Kouji Tahata, Sadao Tomizawa

Research output: Contribution to journal › Article › peer-review

Abstract

This study proposes original symmetry models with a structure wherein the local odds ratios increase exponentially as the row number of the square contingency table increases in each sub-table. The proposed models provide a better fit than the existing models.

Original language	English
Article number	108973
Journal	Statistics and Probability Letters
Volume	169
DOIs	https://doi.org/10.1016/j.spl.2020.108973
Publication status	Published - Feb 2021

Keywords

Diagonals-parameter symmetry
Local odds ratio
Sub-table
Uniform association

Access to Document

10.1016/j.spl.2020.108973

Link to publication in Scopus

Fingerprint Dive into the research topics of 'Extended diagonal uniform association symmetry model for square contingency tables with ordinal categories'. Together they form a unique fingerprint.

Cite this

@article{857215e76d284465aaf4608d6a6deb13,

title = "Extended diagonal uniform association symmetry model for square contingency tables with ordinal categories",

abstract = "This study proposes original symmetry models with a structure wherein the local odds ratios increase exponentially as the row number of the square contingency table increases in each sub-table. The proposed models provide a better fit than the existing models.",

keywords = "Diagonals-parameter symmetry, Local odds ratio, Sub-table, Uniform association",

author = "Shuji Ando and Kouji Tahata and Sadao Tomizawa",

note = "Funding Information: The authors would like to thank the anonymous reviewers and the editors for careful reading and comments to improve this paper.",

year = "2021",

month = feb,

doi = "10.1016/j.spl.2020.108973",

language = "English",

volume = "169",

journal = "Statistics and Probability Letters",

issn = "0167-7152",

publisher = "Elsevier",

}

TY - JOUR

T1 - Extended diagonal uniform association symmetry model for square contingency tables with ordinal categories

AU - Ando, Shuji

AU - Tahata, Kouji

AU - Tomizawa, Sadao

N1 - Funding Information: The authors would like to thank the anonymous reviewers and the editors for careful reading and comments to improve this paper.

PY - 2021/2

Y1 - 2021/2

N2 - This study proposes original symmetry models with a structure wherein the local odds ratios increase exponentially as the row number of the square contingency table increases in each sub-table. The proposed models provide a better fit than the existing models.

AB - This study proposes original symmetry models with a structure wherein the local odds ratios increase exponentially as the row number of the square contingency table increases in each sub-table. The proposed models provide a better fit than the existing models.

KW - Diagonals-parameter symmetry

KW - Local odds ratio

KW - Sub-table

KW - Uniform association

UR - http://www.scopus.com/inward/record.url?scp=85094949305&partnerID=8YFLogxK

U2 - 10.1016/j.spl.2020.108973

DO - 10.1016/j.spl.2020.108973

M3 - Article

AN - SCOPUS:85094949305

VL - 169

JO - Statistics and Probability Letters

JF - Statistics and Probability Letters

SN - 0167-7152

M1 - 108973

ER -