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.

An alternative procedure for imputing missing data based on principal components analysis / DI FRANCO, Giovanni. - In: QUALITY & QUANTITY. - ISSN 0033-5177. - STAMPA. - 48:3(2014), pp. 1149-1163. [10.1007/s11135-013-9826-4]

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

DI FRANCO, Giovanni
2014

Abstract

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/512771
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