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M. Delfino

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Open access Jul 2026

Not All Missing Data are Equal: Choosing the Right Imputation Method for Binary Datasets

Missing binary predictors are common in reliability, quality control, and industrial decision systems, yet imputation methods are often chosen by convenience rather than evidence. We conduct a Monte Carlo study comparing mode substitution, sequential hot‐deck, missForest, MICE, and KNN with three neighbourhood sizes...

Manuel Delfino, Fabio Rapallo · 0 citations

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