New scrambled response models for estimating the mean of a sensitive quantitative character
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Publication:5123662
DOI10.1080/02664760903186031OpenAlexW2007356091MaRDI QIDQ5123662
Pier Francesco Perri, Giancarlo Diana
Publication date: 29 September 2020
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664760903186031
Related Items (29)
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 ⋮ Privacy protection measures for randomized response surveys on stigmatizing continuous variables ⋮ Gini index estimation in randomized response surveys ⋮ Mean estimation with generalized scrambling using two-phase sampling ⋮ A generalized class of exponential type estimators for estimating the mean of the sensitive variable when using optional randomized response model ⋮ Some estimation procedures of sensitive character using scrambled response techniques in successive sampling ⋮ Use of scrambled response for estimating mean of the sensitivity variable ⋮ A composite class of estimators using scrambled response mechanism for sensitive population mean in successive sampling ⋮ Operating characteristics of a subset selection procedure applied to a randomized response model for continuous data ⋮ Scrambled Response Models Based on Auxiliary Variables ⋮ 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 ⋮ A regression type estimator for mean estimation under ranked set sampling alongside the sensitivity issue ⋮ Estimation of population mean of sensitive quantitative character using blank cards in randomized device ⋮ A new class of ratio-type estimators for improving mean estimation of nonsensitive and sensitive variables by using supplementary information ⋮ Design-based distribution function estimation for stigmatized populations ⋮ A general estimation technique of population mean under stratified successive sampling in presence of random scrambled response and non-response ⋮ A calibration-based approach to sensitive data: a simulation study ⋮ Hansen and Hurwitz estimator with scrambled response on the second call ⋮ A generic randomization device for quantitative response variables ⋮ Analyzing continuous randomized response data with an indifference-zone selection procedure ⋮ Advances in Estimation of Sensitive Issues on Successive Occasions ⋮ Advances in estimation by the item sum technique using auxiliary information in complex surveys ⋮ Some classes of estimators for sensitive population mean on successive moves ⋮ Use of free software to estimate sensitive behaviours from complex surveys ⋮ Application of item sum technique for estimating quantitative sensitive mean on successive moves using auxiliary information ⋮ Estimation of finite population distribution function of sensitive variable* ⋮ Randomized response estimation in multiple frame surveys
Cites Work
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- Optimum stratification for scrambled response in PPS sampling
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- Improved Bar-Lev, Bobovitch, and Boukai Randomized Response Models
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