Using a GLM to Decompose the Symmetry Model in Square Contingency Tables with Ordered Categories

DOI10.1080/0266476042000184037zbMath1121.62419OpenAlexW1966304038MaRDI QIDQ3591898

H. Bayo Lawal

Publication date: 11 September 2007

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/0266476042000184037

zbMATH Keywords

factorregressionPoissonquasi-diagonal symmetry model

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (3)

Odds‐symmetry model for cumulative probabilities and decomposition of a conditional symmetry model in square contingency tables ⋮ Quasi local odds symmetry model for square contingency table with ordinal categories ⋮ Measurement of bivariate attributes using a novel statistical model

Uses Software

• SPSS
• SAS
• PROC GENMOD

Cites Work

• The analysis of cross-classified data having ordered and/or unordered categories: Association models, correlation models, and asymmetry models for contingency tables with or without missing entries
• QuasiDiagonalsParameter Symmetry Model for Square Contingency Tables with Ordered Categories
• A class of parametric models for the analysis of square contingency tables with ordered categories
• Modeling symmetry models in square contingency tables with ordered categories
• Decompositions for 2‐Ratios‐Parameter Symmetry Model in Square Contingency Tables with Ordered Categoriesat

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