A general class of small area estimation using calibrated hierarchical likelihood approach with applications to COVID-19 data

DOI10.1080/02664763.2022.2112556MaRDI QIDQ6089449

Unnamed Author, Unnamed Author, Unnamed Author, Richard Charnigo, Unnamed Author

Publication date: 14 December 2023

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

zbMATH Keywords

small area estimationbias correctionCOVID-19hierarchical (\(h\))-likelihood

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Generalized Linear Models for Small-Area Estimation
• On maximum hierarchical likelihood estimators
• Heterogeneity in Mantel-Haenszel-type models
• Regression Calibration in Failure Time Regression
• Approximate Inference in Generalized Linear Mixed Models
• Measurement Error in Nonlinear Models

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