An Efficiency and Protection Degree-Based Comparison Among the Quantitative Randomized Response Strategies
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Publication:3622056
DOI10.1080/03610920802220785zbMath1318.62032OpenAlexW2076898774MaRDI QIDQ3622056
Jing-Yu Wang, Junfeng Lai, Zai-Zai Yan
Publication date: 23 April 2009
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610920802220785
simple random sampling with replacementsensitive questionsrandomized response techniqueestimation of meandesign parameter
Related Items (20)
Double-sampling regression-cum-exponential estimator of the mean of a sensitive variable ⋮ Dealing sensitive characters on successive occasions through a general class of estimators using scrambled response techniques ⋮ Efficient class of estimators for the estimation of the mean of a sensitive variable using multi-auxiliary variables ⋮ 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 ⋮ Generalized exponential type estimator for the mean of sensitive variable in the presence of non-sensitive auxiliary variable ⋮ Scrambled Response Models Based on Auxiliary Variables ⋮ 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 ⋮ Some alternative additive randomized response models for estimation of population mean of quantitative sensitive variable in the presence of scramble variable ⋮ Estimation of population mean of sensitive quantitative character using blank cards in randomized device ⋮ An enhanced ratio-cum-product estimator with non-response and observational error by utilizing ORRT models: a sensitive estimation approach ⋮ An efficient new scrambled response model for estimating sensitive population mean in successive sampling ⋮ Using the exponential function of scrambling variable in quantitative randomized response models ⋮ A class of estimators for quantitative sensitive data ⋮ Mean estimation of sensitive variables under non-response and measurement errors using optional RRT models ⋮ Improved randomized response in additive scrambling models ⋮ Mean estimation in the simultaneous presence of measurement errors and non-response using optional RRT models under stratified sampling ⋮ A unified measure of respondent privacy and model efficiency in quantitative RRT models
Cites Work
- On the efficiency comparison of certain randomized response strategies
- A note on randomized response models for quantitative data
- Randomized response surveys of finite populations: A unified approach with quantitative data
- An alternative randomized response procedure
- Asking sensitive questions indirectly
- On randomized response surveys for estimating a proportion
- Estimation of sensitivity level of personal interview survey questions
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