Inference for singly imputed synthetic data based on posterior predictive sampling under multivariate normal and multiple linear regression models

DOI10.1007/s13571-015-0100-8zbMath1329.62260OpenAlexW2154352888MaRDI QIDQ904300

N. E. Zubov

Publication date: 13 January 2016

Published in: Sankhyā. Series B (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13571-015-0100-8

zbMATH Keywords

maximum likelihood estimatorstatistical disclosure controlpivotposterior predictive samplingsingle imputation

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Parametric tolerance and confidence regions (62F25) Linear regression; mixed models (62J05) Point estimation (62F10)

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

• The Multiple Adaptations of Multiple Imputation
• Synthetic datasets for statistical disclosure control. Theory and implementation
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