Estimating sensitive proportions by Warner's randomized response technique using multiple randomized responses from distinct persons sampled
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Publication:451486
DOI10.1007/S00362-009-0210-3zbMath1247.62013OpenAlexW2063692945MaRDI QIDQ451486
Mausumi Bose, Kajal Dihidar, Arijit Chaudhuri
Publication date: 23 September 2012
Published in: Statistical Papers (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00362-009-0210-3
Related Items (6)
Privacy protection measures for randomized response surveys on stigmatizing continuous variables ⋮ Respondent privacy and estimation efficiency in randomized response surveys for discrete-valued sensitive variables ⋮ Estimation of a sensitive proportion by Warner's randomized response data through inverse sampling ⋮ Alternative estimator in dichotomous randomized response technique ⋮ Admissible and optimal sampling strategy for estimating finite population mean in randomized response surveys with multiple responses ⋮ Estimation of finite population proportion in randomized response surveys using multiple responses
Cites Work
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- A generalized randomized response technique
- Estimating sensitive proportions from Warner's randomized responses in alternative ways restricting to only distinct units sampled
- Randomized response in stratified sampling
- Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias
- An alternative randomized response procedure
- Some Remarks on Sampling with Replacement
- On Use of Distinct Respondents in Randomized Response Surveys
- On Averaging Over Distinct Units in Sampling with Replacement
- A Generalization of Sampling Without Replacement From a Finite Universe
- Using randomized response from a complex survey to estimate a sensitive proportion in a dichotomous finite population
- Estimation of mean and variance of stigmatized quantitative variable using distinct units in randomized response sampling
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