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Multiple Imputation: an attempt to retell the evolutionary process
2014
AStA Wirtschafts- und Sozialstatistisches Archiv
Multiple Imputation describes a strategy for analyzing incomplete data that accounts for uncertainty in the missing data by replacing (imputing) each missing value by several 'candidates'. The actual implementation of any Multiple Imputation method is typically computationally expensive which is why the concept has only really caught on around the verge of the new millennium, when the first algorithms for Multiple Imputation had become accessible. In this article, we are going to give a rough
doi:10.1007/s11943-014-0151-8
fatcat:fvnurt4r4zd7benra3izx5lfx4