A Note on Rubin's Statistical Matching Using File Concatenation With Adjusted Weights and Multiple Imputations
By C. Moriarity, F. Scheuren. 2003
68 citations recorded by the source corpus.
Subfields: Sociology and Political Science, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/3c52a55376adf4d08e8fde7b753d484f8c8ac6c6
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In Sociology and Political Science
- Ian R. White
- Marcello D'Orazio
- Patrick Royston
- Marco Di Zio
- Thomas F. Rutherford
- Mauro Scanu
- D. Tarr
In Statistics and Probability
- Ian R. White
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- Marcello D'Orazio
- Marco Di Zio
- Thomas F. Rutherford
- Mauro Scanu
- D. Tarr
Citations in the corpus
- Statistical Matching for Categorical Data: Displaying Uncertainty and Using Logical Constraints (2006, methodology): “It can be proved that the uncertainty distribution for rYZ is a uniform distribution between a minimum and maximum value (these extrema are well studied and discussed in: Kadane 1978, Moriarity and Scheuren 2003, Rässler 2002).”
- Tuning multiple imputation by predictive mean matching and local residual draws (2014, background): “Moriarity and Scheuren suggested the use of ‘constrained’ matching [32], where each h can only donate xh once.”
- Poverty Effects of Russia’s WTO Accession: Modeling “Real” Households and Endogenous Productivity Effects (2005, methodology): “We have employed both small area estimation (SAE) and Matching techniques (see Elbers et al., 2003; Rao, 1999; Moriarity and Scheuren, 2003) to generate sources of income data for all 55,000 plus households in the HBS.”