Data Integration by Combining Big Data and Survey Sample Data for Finite Population Inference

Summary The statistical challenges in using big data for making valid statistical inference in the finite population have been well documented in literature. These challenges are due primarily to statistical bias arising from under‐coverage in the big data source to represent the population of inter...

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Veröffentlicht in:	International statistical review 2021-08, Vol.89 (2), p.382-401
Hauptverfasser:	Kim, Jae‐Kwang, Tam, Siu‐Ming
Format:	Artikel
Sprache:	eng
Schlagworte:	Bias Big Data Calibration weighting Data integration Measurement error Missing data Non‐response Population (statistical) Regression estimation Selection bias Statistical analysis Statistical inference
Online-Zugang:	Volltext
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