Accounting for lack of trust in optional binary RRT models using a unified measure of privacy and efficiency

DOI10.1007/S42519-022-00279-3zbMath1495.62020OpenAlexW4285493876MaRDI QIDQ2081721

Sadia Khalil, Pujita Sapra, Sat Gupta

Publication date: 30 September 2022

Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s42519-022-00279-3

zbMATH Keywords

parameter estimationsimulation studyoptional randomized response modelsmixture binary randomized response modelsrespondent privacy

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Cites Work

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• A two-step approach to ratio and regression estimation ofnite population mean using optional randomized response models
• Mean estimation of sensitive variables under measurement errors using optional RRT models
• Estimation of population proportion and sensitivity level using optional unrelated question randomized response techniques
• Bayesian estimation of sensitivity level and population proportion of a sensitive characteristic in a binary optional unrelated question RRT model
• Estimation of sensitivity level of personal interview survey questions

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