Using randomized response to estimate the population mean of a sensitive variable under the influence of measurement error
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Publication:2136063
DOI10.1007/s42519-022-00251-1zbMath1485.62011OpenAlexW4226421483MaRDI QIDQ2136063
Khalid Ul Islam Rather, Kuldeep Kumar Tiwari, Sandeep Bhougal, Sunil Kumar
Publication date: 10 May 2022
Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s42519-022-00251-1
Related Items (3)
An enhanced ratio-cum-product estimator with non-response and observational error by utilizing ORRT models: a sensitive estimation approach ⋮ Novel logarithmic type estimators in presence of measurement errors ⋮ Using ORRT models for mean estimation under nonresponse and measurement errors in stratified successive sampling
Cites Work
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- Ratio estimation of the mean of a sensitive variable in the presence of auxiliary information
- Two new models for survey sampling with sensitive characteristic: design and analysis
- Mean and sensitivity estimation in optional randomized response models
- Ratio estimators in simple random sampling
- Mean estimation of sensitive variables under non-response and measurement errors using optional RRT models
- A unified measure of respondent privacy and model efficiency in quantitative RRT models
- Estimation of the Mean of a Sensitive Variable in the Presence of Auxiliary Information
- Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias
- Mean estimation in the simultaneous presence of measurement errors and non-response using optional RRT models under stratified sampling
- Estimation of mean of a sensitive variable using efficient exponential-type estimators in stratified sampling
- An Efficiency and Protection Degree-Based Comparison Among the Quantitative Randomized Response Strategies
- A Comparison of Three Randomized Response Models for Quantitative Data
- Double-sampling regression-cum-exponential estimator of the mean of a sensitive variable
- Randomized Response Sampling with Applications to Tracking Drugs for Better Life
- Estimation of finite population mean in stratified sampling using scrambled responses in the presence of measurement errors
- A regression type estimator for mean estimation under ranked set sampling alongside the sensitivity issue
- Exponential-Type Estimators of the Mean of a Sensitive Variable in the Presence of Nonsensitive Auxiliary Information
- Estimation of sensitivity level of personal interview survey questions
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