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The broad role of multiple imputation in statistical science
2000Nearly a quarter century ago, the basic idea of multiple imputation was proposed as a way to deal with missing values due to nonresponse in sample surveys. Since that time, the essential formulation has expanded to be proposed for use in a remarkably broad range of empirical problems, from many standard social science and biomedical applications ...
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SLICE: generalised software for statistical data editing and imputation
2000Statistical offices have to face the problem that data collected by surveys or obtained from administrative registers generally contain errors. Another problem they have to face is that values in data sets obtained from these sources may be missing. To handle such errors and missing data efficiently, Statistics Netherlands is currently developing a ...
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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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Water Conservation Science and Engineering
G. P. Kumar, G. S. Dwarakish
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G. P. Kumar, G. S. Dwarakish
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Evaluation of genotype imputation using Glimpse tools on low coverage ancient DNA
Mammalian GenomeHande Çubukcu, G. M. Kılınç
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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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Evaluation of automatic editing and imputation to inform establishment statistics
Sean Rhodes +6 more
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