A new general class of RC association models: estimation and main properties

DOI10.1016/j.jmva.2021.104741zbMath1467.62085OpenAlexW3135046382MaRDI QIDQ2034458

Antonio Forcina, Maria Kateri

Publication date: 22 June 2021

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2021.104741

zbMATH Keywords

positive associationmarginal modelstwo-way contingency tables\( \phi \)-divergence measureslogit typesreduced rank matrices

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Contingency tables (62H17)

Related Items (2)

A generalized Mallows model based on \(\phi\)-divergence measures ⋮ Generalized models for binary and ordinal responses

Cites Work

• A generalized model for the analysis of association in ordinal contingency tables
• Two algorithms for fitting constrained marginal models
• 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
• Maximum-Likelihood Estimation of Parameters Subject to Restraints
• Positive association in a two-way contingency table:likelihood ratio tests
• Ordinal Association in Contingency Tables: Some Interpretive Aspects
• Extended RC Association Models Allowing for Order Restrictions and Marginal Modeling
• Association Models for a Multivariate Binary Response
• Contingency Table Analysis
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