The use of uncertainty to choose matching variables in statistical matching

DOI10.1016/j.ijar.2017.08.015zbMath1429.62048OpenAlexW3022834251MaRDI QIDQ1678453

Marco Di Zio, Marcello D'Orazio, Mauro Scanu

Publication date: 17 November 2017

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2017.08.015

zbMATH Keywords

consistencydata fusionsequential procedurepartial identifiabilitysynthetical matching

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Sequential estimation (62L12)

Uses Software

• StatMatch

Cites Work

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• Partial identification in statistical matching with misclassification
• Statistical matching. A frequentist theory, practical applications, and alternative Bayesian approaches
• An empirical investigation of some effects of sparseness in contingency tables
• Model assisted survey sampling
• Statistical matching of multiple sources: A look through coherence
• How far from identifiability? A systematic overview of the statistical matching problem in a non parametric framework
• Maximum Likelihood Estimates for a Multivariate Normal Distribution when some Observations are Missing
• Characterizing the Estimation of Parameters in Incomplete-Data Problems
• More on Confidence Intervals for Partially Identified Parameters
• Confidence Intervals for Partially Identified Parameters
• Statistical Matching

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