Evaluations of small area composite estimators based on the iterative proportional fitting algorithm

DOI10.1080/03610918.2018.1535067zbMath1489.62032OpenAlexW2914290696WikidataQ128591170 ScholiaQ128591170MaRDI QIDQ5083927

Adam Whitworth, Angelo Moretti

Publication date: 21 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://e-space.mmu.ac.uk/625176/3/Composite_IPF_Moretti_Accepted_Version.pdf

zbMATH Keywords

small area estimationcomposite estimatorsynthetic estimatorspatial microsimulationIPF

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Uses Software

• ipfraking

Cites Work

• Unnamed Item
• Small area estimation: the EBLUP estimator based on spatially correlated random area effects
• Empirical best linear unbiased and empirical Bayes prediction in multivariate small area estimation.
• Non-parametric bootstrap mean squared error estimation for \(M\)-quantile estimators of small area averages, quantiles and poverty indicators
• Small Area Estimation
• Small Area Estimation and Microsimulation Modeling
• Generalized Raking Procedures in Survey Sampling
• Postcensal Estimates for Local Areas (Or Domains)
• Calibration Estimators in Survey Sampling
• A Generalization of Sampling Without Replacement From a Finite Universe

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