A regression estimator for finite population mean of a sensitive variable using an optional randomized response model
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Publication:5267927
DOI10.1080/03610918.2015.1044614zbMath1372.62002OpenAlexW2530454706MaRDI QIDQ5267927
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Publication date: 13 June 2017
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2015.1044614
mean square errorratio estimatorregression estimatorauxiliary informationoptional randomized response technique
Related Items (6)
Efficient class of estimators for the estimation of the mean of a sensitive variable using multi-auxiliary variables ⋮ The joint influence of estimation of sensitive variable under measurement error and non-response using ORRT models ⋮ Use of scrambled response for estimating mean of the sensitivity variable ⋮ Mean estimation of sensitive variables under measurement errors using optional RRT models ⋮ Estimation of mean of a sensitive variable using efficient exponential-type estimators in stratified sampling ⋮ Additive ratio type exponential estimator of finite population mean of sensitive variable using non-sensitive auxiliary information based on optional randomized response model
Cites Work
- Ratio estimation of the mean of a sensitive variable in the presence of auxiliary information
- Ratio estimation of the population mean using auxiliary information in simple random sampling and median ranked set sampling
- Two new models for survey sampling with sensitive characteristic: design and analysis
- Improvement in estimating the population mean in simple random sampling
- Unbiased estimators of mean, variance and sensitivity level for quantitative characteristics in finite population sampling
- Mean and sensitivity estimation in optional randomized response models
- A randomized response technique for quantitative data under unequal probability sampling
- Generalized Scrambling in Quantitative Optional Randomized Response Models
- Estimation of sensitivity level of personal interview survey questions
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