A unified measure of respondent privacy and model efficiency in quantitative RRT models
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Publication:2321820
DOI10.1080/15598608.2017.1415175zbMath1426.62027OpenAlexW2775723822MaRDI QIDQ2321820
Sadia Khalil, Javid Shabbir, Samridhi Mehta, Sat Gupta
Publication date: 23 August 2019
Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/15598608.2017.1415175
randomized response modelsrespondent privacyoptional randomized response modelrandomized response technique (RRT)model efficiencyunified measure
Related Items (14)
Double-sampling regression-cum-exponential estimator of the mean of a sensitive variable ⋮ Mean estimation with generalized scrambling using two-phase sampling ⋮ Using randomized response to estimate the population mean of a sensitive variable under the influence of measurement error ⋮ The joint influence of estimation of sensitive variable under measurement error and non-response using ORRT models ⋮ Mean estimation of sensitive variables under measurement errors using optional RRT models ⋮ A modified randomized device for estimation of population mean of quantitative sensitive variable with measure of privacy protection ⋮ An enhanced ratio-cum-product estimator with non-response and observational error by utilizing ORRT models: a sensitive estimation approach ⋮ A mixture binary RRT model with a unified measure of privacy and efficiency ⋮ Using ORRT models for mean estimation under nonresponse and measurement errors in stratified successive sampling ⋮ Using the exponential function of scrambling variable in quantitative randomized response models ⋮ Mean estimation of sensitive variables under non-response and measurement errors using optional RRT models ⋮ Mean estimation in the simultaneous presence of measurement errors and non-response using optional RRT models under stratified sampling ⋮ Accounting for lack of trust in optional binary RRT models using a unified measure of privacy and efficiency ⋮ Mean estimation of a sensitive variable using optional randomized response technique in two-phase sampling when non-response and measurement error are simultaneously present
Cites Work
- Mean and sensitivity estimation in optional randomized response models
- A unified framework for analysis and comparison of randomized response surveys of binary characteristics
- Indirect Questioning in Sample Surveys
- An alternative randomized response procedure
- An Efficiency and Protection Degree-Based Comparison Among the Quantitative Randomized Response Strategies
- On the Degree of Protection in Randomized Interviews
- A Concise Theory of Randomized Response Techniques for Privacy and Confidentiality ProtectionaaThe views expressed in this chapter are those of the authors and not necessarily those of the US Census Bureau. The analysis and conclusions contained in this chapter are those of the authors and do not represent the official position of the US Energy Information Administration (EIA) or the US Department of Energy (DOE).
- Estimation of sensitivity level of personal interview survey questions
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