A note on the properties of estimators in missing data analysis

DOI10.1080/03610926.2020.1854305OpenAlexW3111979627MaRDI QIDQ5095999

Tadayoshi Fushiki

Publication date: 12 August 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2020.1854305

zbMATH Keywords

consistencymaximum likelihood estimatorBayes estimatormissing at randommodel misspecification

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• What is meant by ``missing at random?
• Asymptotic Inference with Incomplete Data
• Clarifying missing at random and related definitions, and implications when coupled with exchangeability: Table 1.
• On asymptotic properties of predictive distributions
• Inference and missing data
• Statistical Analysis with Missing Data, Third Edition
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