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.File allegati a questo prodotto
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