Imputation in High-Dimensional Economic Data as Applied to the Agricultural Resource Management Survey

DOI10.1080/01621459.2012.734158OpenAlexW2155831674WikidataQ57427751 ScholiaQ57427751MaRDI QIDQ4916929

Joshua D. Habiger, Michael Robbins, Sujit Kumar Ghosh

Publication date: 26 April 2013

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01621459.2012.734158

zbMATH Keywords

Markov chain Monte Carloimputationmissing dataGaussian copulaARMS

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Imputation for skewed data: multivariate Lomax case

Uses Software

• MICE

Cites Work

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• The Multiple Adaptations of Multiple Imputation
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• Imputation using markov chains
• Fully conditional specification in multivariate imputation
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Missing Covariates in Generalized Linear Models When the Missing Data Mechanism is Non-ignorable
• A conditional model for incomplete covariates in parametric regression models
• Multiple Imputation for Incomplete Data With Semicontinuous Variables
• Multiple Imputation for the Fatal Accident Reporting System
• Measures of multivariate skewness and kurtosis with applications
• Multiple Imputation of Missing Income Data in the National Health Interview Survey

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