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URL :  An Overview Of Methods For Treating Selectivity In Big Data Sources
Author : Maciej Ber?sewicz - Risto Lehtonen - Fernando Reis - Loredana Di Consiglio - Martin Karlberg
Detail : eBook Edition: 2018

The purpose of the methodological study which produced the results presented in this report was to help Eurostat address the selectivity of the big data sources used in its own pilots. The study also aimed to guide Eurostat in planning future development activities, internally and at the ESS level. It was much more specific than the methodologies analysed in the ESSnet Big Data project since it only addressed selectivity, making it possible to gain insights much more quickly.

The main objective of the study was to identify existing methods which could be used to address the selectivity in big data sources, in order to be able to make unbiased inference for populations of interest in official statistics (e.g. resident population between 15 and 65 years old). (From Author)

eBook Contents

Abstract - Executive Summary - Introduction - A Statistical Approach to Big Data - Analysis of Big Data Sources - Unit-Level Methods to Correct Selectivity - Domain-Level Methods to Correct Selectivity - Conclusions

eBook License: Copyrighted from The European Union

Free PDF eBook – 2.2 Mb – 114 Pages
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