Big Data and model-based survey sampling

Big Data are huge amounts of digital information that are automatically accrued or merged from several sources and rarely result from properly planned surveys. A Big Dataset is herein conceived of as a collection of information concerning a finite population. We suggest selecting a sample of observa...

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Bibliographic Details
Published in:arXiv.org 2020-02
Main Authors: Deldossi Laura, Tommasi Chiara
Format: Article
Language:English
Subjects:
Big Data
Datasets
Online Access:Get full text
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Summary:Big Data are huge amounts of digital information that are automatically accrued or merged from several sources and rarely result from properly planned surveys. A Big Dataset is herein conceived of as a collection of information concerning a finite population. We suggest selecting a sample of observations to get the inferential goal. We assume a super-population model has generated the Big Dataset. With this assumption, we can apply the theory of optimal design to draw a sample from the Big Dataset that contains the majority of the information about the unknown parameters.
ISSN:2331-8422