Outlier Detection with Kernel Density Functions in Monitoring the ISTAT LFS Data Production Processes

Authors

  • Rita Lima ISTAT

DOI:

https://doi.org/10.1285/i20705948v6n1p118

Keywords:

monitoring data production, AAPOR, time series analysis

Abstract

To calculate the thresholds that determine the normal operating region for a data production process, it is proposed a method based on a time-varying tolerance bounds. The proposal is applied on the Italian Labour Force Survey to report how this new decision rules impact on survey quality

References

Ornella GIAMBALVO, Statistical methods for data analysis,

ornella.giambalvo@unipa.it

Luciana QUATTROCIOCCHI, Survey monitoring luciana.quattrociocchi@istat.it

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Published

26-04-2013

Issue

Vol. 6 No. 1 (2013): Electronic Journal of Applied Statistical Analysis

Section

Original Paper

License

Authors who publish with EJASA agree to the  Creative Commons Attribuzione - Non commerciale - Non opere derivate 3.0 Italia License.