In this paper the problem of missing data in the setting-up of indicators is examined. An imputation proposal is presented, its properties are discussed throughout a simulation procedure; the new proposal is implemented in R
Missing data handling in setting up indicators from categorical data / P.A. Ferrari, A. Barbiero, G. Manzi - In: Classification and data analysis 2009 : book of short papers / [a cura di] S. Ingrassia, R. Rocci. - Padova : CLEUP, 2009 Sep. - ISBN 978-88-6129-406-6. - pp. 361-364 (( Intervento presentato al 7. convegno Scientific meeting of the classification and data analysis group of the Italian statistical society : CLADAG tenutosi a Catania nel 2009.
Missing data handling in setting up indicators from categorical data
P.A. FerrariPrimo
;A. BarbieroSecondo
;G. ManziUltimo
2009
Abstract
In this paper the problem of missing data in the setting-up of indicators is examined. An imputation proposal is presented, its properties are discussed throughout a simulation procedure; the new proposal is implemented in R
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