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


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

DOI Code: 10.1285/i20705948v6n1p118

Keywords: monitoring data production, AAPOR, time series analysis

References


Ornella GIAMBALVO, Statistical methods for data analysis,

[email protected]

Luciana QUATTROCIOCCHI, Survey monitoring [email protected]


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