A Practical Implementation and Bayesian Estimation in Franklin's Randomized Response Procedure

DOI10.1080/03610910600716548zbMath1093.62014OpenAlexW2061572533MaRDI QIDQ5481735

Lucio Barabesi, Marzia Marcheselli

Publication date: 10 August 2006

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610910600716548

zbMATH Keywords

Bayesian inferencecomputer algebra systemproportion estimation

Mathematics Subject Classification ID

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

Related Items (12)

Gini index estimation in randomized response surveys ⋮ Bayesian Analysis of Randomized Response Sum Score Variables ⋮ Bayesian analysis of optional unrelated question randomized response models ⋮ Design-based distribution function estimation for stigmatized populations ⋮ A randomized response procedure for multiple-sensitive questions ⋮ Pseudo-Bayes and pseudo-empirical Bayes estimators in randomized response sampling ⋮ Bayesian estimation of proportion and sensitivity level in randomized response procedures ⋮ Bayesian Estimation Using Warner's Randomized Response Model through Simple and Mixture Prior Distributions ⋮ An extension of Franklin's randomized response technique for multi-proportions ⋮ Bayesian estimation of rare sensitive attribute ⋮ A design-based randomized response procedure for the estimation of population proportion and sensitivity level ⋮ Randomized response estimation in multiple frame surveys

Uses Software

• Unnamed Item

Cites Work

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• Bayesian approximations in randomized response model
• Extensions of Mangat's randomized-response model
• An alternative randomized response procedure
• A comparison of estimators for randomized response sampling with continuous distributions from a dichotomous population
• Asking sensitive questions indirectly
• Bayes Linear Estimators for Randomized Response Models
• A TWO‐STAGE UNRELATED RANDOMISED RESPONSE PROCEDURE
• The accuracy of \textit{Mathematica 4} as a statistical package

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