A generalized class of exponential type estimators for estimating the mean of the sensitive variable when using optional randomized response model
DOI10.1080/03610918.2020.1850788OpenAlexW3113313316WikidataQ115551220 ScholiaQ115551220MaRDI QIDQ5055238
Zara Waseem, Unnamed Author, Javid Shabbir, Hina Khan
Publication date: 13 December 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2020.1850788
biasmean square errorsensitive variablepercentage relative efficiencyoptional randomized response technique
Software, source code, etc. for problems pertaining to statistics (62-04) Applications of statistics to social sciences (62P25) Sampling theory, sample surveys (62D05)
Cites Work
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- A three-stage optional randomized response model
- Estimation of the Mean of a Sensitive Variable in the Presence of Auxiliary Information
- Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias
- A two-step approach to ratio and regression estimation ofnite population mean using optional randomized response models
- Generalized exponential type estimator for the mean of sensitive variable in the presence of non-sensitive auxiliary variable
- New scrambled response models for estimating the mean of a sensitive quantitative character
- Exponential-Type Estimators of the Mean of a Sensitive Variable in the Presence of Nonsensitive Auxiliary Information
- Estimation of sensitive quantitative characteristics in randomized response sampling
- Estimation of sensitivity level of personal interview survey questions
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