Bayesian estimation of sensitivity level and population proportion of a sensitive characteristic in a binary optional unrelated question RRT model

DOI10.1080/03610926.2017.1367812OpenAlexW2791075931WikidataQ130106551 ScholiaQ130106551MaRDI QIDQ5154054

Priyanka Aggarwal, Samridhi Mehta

Publication date: 1 October 2021

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2017.1367812

zbMATH Keywords

Bayesian estimationsquared error loss functionbeta priorrelative lossBayes posterior expected lossbinary optional unrelated question RRT model

Mathematics Subject Classification ID

Bayesian inference (62F15) Sampling theory, sample surveys (62D05)

Related Items (3)

Bayesian analysis of optional unrelated question randomized response models ⋮ A mixture binary RRT model with a unified measure of privacy and efficiency ⋮ Accounting for lack of trust in optional binary RRT models using a unified measure of privacy and efficiency

Cites Work

• Unnamed Item
• An optional unrelated question RRT model
• Optional unrelated-question randomized response models
• Bayesian estimation of proportion and sensitivity level in randomized response procedures
• A unified framework for analysis and comparison of randomized response surveys of binary characteristics
• A three-stage optional randomized response model
• Extensions of Mangat's randomized-response model
• Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias
• An alternative randomized response procedure
• Bayes Linear Estimators for Randomized Response Models
• Estimation of sensitivity level of personal interview survey questions

This page was built for publication: Bayesian estimation of sensitivity level and population proportion of a sensitive characteristic in a binary optional unrelated question RRT model