Imputation techniques provides a useful strategy for dealing with data sets with missing values. In this work the Authors present the results of an experimentation of missing data simulation to sample data coming from ISTAT survey on Small and Medium Enterprises, Arts and Professions. In particular, three different multiple imputation methods are compared considering their capacity to estimate mean, median and variance of population.

Un confronto delle performances di alcuni metodi di imputazione multipla: la variabilità delle stime in un’applicazione a dati provenienti da un disegno di campionamento complesso

ROCCA, Antonella
2008

Abstract

Imputation techniques provides a useful strategy for dealing with data sets with missing values. In this work the Authors present the results of an experimentation of missing data simulation to sample data coming from ISTAT survey on Small and Medium Enterprises, Arts and Professions. In particular, three different multiple imputation methods are compared considering their capacity to estimate mean, median and variance of population.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11367/35818
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