Simulation of close-to-reality population data for household surveys with application to EU-SILC

DOI10.1007/s10260-011-0163-2zbMath1237.91178OpenAlexW2039096157MaRDI QIDQ413976

Matthias Templ, Stefan Kraft, Peter Filzmoser, Andreas Alfons

Publication date: 8 May 2012

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10260-011-0163-2

zbMATH Keywords

simulationEU-SILCsurvey statisticssynthetic data

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Statistical methods; economic indices and measures (91B82)

Related Items (6)

Robust, distribution-free inference for income share ratios under complex sampling ⋮ Simulation and quality of a synthetic close-to-reality employer–employee population ⋮ Estimation of a proportion in survey sampling using the logratio approach ⋮ Divergence based robust estimation of the tail index through an exponential regression model ⋮ Simulation of close-to-reality population data for household surveys with application to EU-SILC ⋮ Exploratory tools for outlier detection in compositional data with structural zeros

Uses Software

• R
• lattice
• alr3
• vcd
• simPopulation
• simFrame
• laeken
• strucplot

Cites Work

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• Simulation of close-to-reality population data for household surveys with application to EU-SILC
• An Efficient Method for Generating Discrete Random Variables with General Distributions
• Statistical Size Distributions in Economics and Actuarial Sciences
• Applied Linear Regression
• A Generalization of Sampling Without Replacement From a Finite Universe

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