Likelihood-based inference for singly and multiply imputed synthetic data under a normal model

DOI10.1016/J.SPL.2015.06.003zbMath1396.62033OpenAlexW645818120MaRDI QIDQ894593

N. E. Zubov

Publication date: 1 December 2015

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

Full work available at URL: https://doi.org/10.1016/j.spl.2015.06.003

zbMATH Keywords

maximum likelihood estimatorstatistical disclosure controlpivotplug-in samplingposterior predictive sampling

Mathematics Subject Classification ID

Point estimation (62F10) Sampling theory, sample surveys (62D05)

Related Items (3)

Unnamed Item ⋮ Multivariate normal inference based on singly imputed synthetic data under plug-in sampling ⋮ Inference for Multivariate Regression Model Based on Synthetic Data Generated Using Plug-in Sampling

Cites Work

• Unnamed Item
• Synthetic datasets for statistical disclosure control. Theory and implementation
• Statistical Meta‐Analysis with Applications

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