On making valid inferences by integrating data from surveys and other sources

DOI10.1007/s13571-020-00227-wzbMath1469.62198OpenAlexW3014718182MaRDI QIDQ2040672

J. N. K. Rao

Publication date: 14 July 2021

Published in: Sankhyā. Series B (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13571-020-00227-w

zbMATH Keywords

dual framessmall area estimationbig datasample selection biasprobability samplingnon-probability sampling

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Statistical aspects of big data and data science (62R07)

Related Items (9)

Statistical data integration in survey sampling: a review ⋮ General purpose multiply robust data integration procedures for handling nonprobability samples ⋮ Pseudo empirical likelihood inference for nonprobability survey samples ⋮ Statistical inference from finite population samples: A critical review of frequentist and Bayesian approaches ⋮ Data Integration by Combining Big Data and Survey Sample Data for Finite Population Inference ⋮ MLE with datasets from populations having shared parameters ⋮ Estimating Sampling Errors in Consumer Price Indices ⋮ Pretest estimation in combining probability and non-probability samples ⋮ Inference with non-probability samples and survey data integration: a science mapping study

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