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Missing Data Imputation within the Statistical learning Paradigm
2012In the framework of missing data imputation, Rubin formalized three types of missing data mechanisms upon definition of a missing data indicator matrix pointing out the missing-ness in the data matrix, assigning it a random variable with a conditional probability distribution given the data matrix depending on unknown parameters.
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Multiple imputation score tests and an application to Cochran‐Mantel‐Haenszel statistics
Kaifeng Lu
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Statistical imputation and validation of consumption microdata for EUROMOD
Consumption taxes are a crucial revenue source for EU Member States, yet they also potentially have non-negligible impact on income distribution. The EU's tax-benefit microsimulation model, EUROMOD, has recently been extended to simulate consumption taxes (CT) across all 27 EU countries allowing researchers and practitioners to examine carefully their ...Dreoni, Ilda +4 more
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Random Forests for Offcial Statistics Imputation: towards a more efficient methodology
Su A Park
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