On maximum likelihood estimation for log-linear models with non-ignorable non-response

DOI10.1016/J.SPL.2005.04.019zbMath1075.62018OpenAlexW2045413998WikidataQ58300003 ScholiaQ58300003MaRDI QIDQ2485557

Peter W. F. Smith, Paul S. Clarke

Publication date: 5 August 2005

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2005.04.019

zbMATH Keywords

Categorical dataConsistencyNormal approximationBoundary solutionsInformative non-response

Mathematics Subject Classification ID

Point estimation (62F10) Contingency tables (62H17)

Related Items (5)

On the occurrence of boundary solutions in multidimensional incomplete tables ⋮ Identification of the occurrence of boundary solutions in a contingency table with nonignorable nonresponse ⋮ Evaluation of missing data mechanisms in two and three dimensional incomplete tables ⋮ Missing data mechanisms and their implications on the analysis of categorical data ⋮ On missing-at-random mechanism in two-way incomplete contingency tables

Cites Work

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• On the existence and uniqueness of the maximum likelihood estimates for certain generalized linear models
• Inference and missing data
• Model-based Inference for Categorical Survey Data Subject to Non-ignorable Non-response
• Allowing for Non-Ignorable Non-Response in the Analysis of Voting Intention Data
• Interval Estimation for Log-Linear Models with One Variable Subject to Non-Ignorable Non-Response
• An Approach to Categorical Data with Nonignorable Nonresponse
• On boundary solutions and identifiability in categorical regression with non-ignorable non-response

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