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Gestion des données manquantes dans les bases de données : la méthode d’imputation multiple sous XLSTAT

NJAMEN KENGDO, Arsène Aurélien (2016): Gestion des données manquantes dans les bases de données : la méthode d’imputation multiple sous XLSTAT.

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Abstract

The objective of this study is to evaluate the robustness of the missing data management method, called multiple imputation, in the series of secondary data in social sciences. We use a simulation using data observed to see the scope of the multiple imputation method. Results show a close similarity between the observed data and imputed data.

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