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

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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Year of publication:	2016-01-08
Authors:	NJAMEN KENGDO, Arsène Aurélien

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Type of publication:	Book / Working Paper
Language:	English ; French
Notes:	NJAMEN KENGDO, Arsène Aurélien (2016): Gestion des données manquantes dans les bases de données : la méthode d’imputation multiple sous XLSTAT.
Classification:	C1 - Econometric and Statistical Methods: General ; C15 - Statistical Simulation Methods; Monte Carlo Methods ; C82 - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data
Source:	BASE

Persistent link: https://www.econbiz.de/10015251653