A regression type estimator for mean estimation under ranked set sampling alongside the sensitivity issue
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Publication:5085771
DOI10.31801/CFSUASMAS.586057zbMath1490.62050OpenAlexW2955397509WikidataQ127573869 ScholiaQ127573869MaRDI QIDQ5085771
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Publication date: 27 June 2022
Published in: Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.31801/cfsuasmas.586057
Related Items (3)
Using randomized response to estimate the population mean of a sensitive variable under the influence of measurement error ⋮ On kernel-based quantile estimation using different stratified sampling schemes with optimal allocation ⋮ New robust class of estimators for population mean under different sampling designs
Cites Work
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- A Comparison of Three Randomized Response Models for Quantitative Data
- Estimation of Ratio Using Rank Set Sampling
- New scrambled response models for estimating the mean of a sensitive quantitative character
- General procedure for estimating the population mean using ranked set sampling
- Exponential-Type Estimators of the Mean of a Sensitive Variable in the Presence of Nonsensitive Auxiliary Information
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