An alternative procedure for imputing missing data based on principal components analysis

This work entailed tackling the significant problem of missing data which was solved by identifying a new substitution procedure, following an empirical approach based on the analysis of the information contained in the entire set of data collected. This procedures offers a number of advantages compared to other techniques commonly mentioned in the statistical–methodological literature. Copyright Springer Science+Business Media Dordrecht 2014

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Year of publication:	2014
Authors:	Franco, Giovanni Di
Published in:	Quality & Quantity: International Journal of Methodology. - Springer. - Vol. 48.2014, 3, p. 1149-1163
Publisher:	Springer
Subject:	Missing data substitution \| Principal components analysis \| Random missing data \| Systematic missing data

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010843900