A unified framework for analysis and comparison of randomized response surveys of binary characteristics

DOI10.1016/j.jspi.2008.12.013zbMath1162.62004OpenAlexW2068805997MaRDI QIDQ1022009

Tapan K. Nayak, Samson A. Adeshiyan

Publication date: 9 June 2009

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2008.12.013

zbMATH Keywords

Fisher informationvariance estimatorsampling designdesign unbiasednessrespondents' protection

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Related Items (10)

Estimation of population mean of sensitive quantitative character using blank cards in randomized device ⋮ On Invariant Post‐randomization for Statistical Disclosure Control ⋮ Respondent privacy and estimation efficiency in randomized response surveys for discrete-valued sensitive variables ⋮ Minimax randomized response methods for protecting respondent’s privacy ⋮ Ensuring privacy with constrained additive noise by minimizing Fisher information ⋮ Bayesian estimation of sensitivity level and population proportion of a sensitive characteristic in a binary optional unrelated question RRT model ⋮ A binary unrelated-question RRT model accounting for untruthful responding ⋮ A unified measure of respondent privacy and model efficiency in quantitative RRT models ⋮ Comments on a method of comparison of randomized response techniques ⋮ Exact Binomial Confidence Intervals for Randomized Response

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