A composite class of estimators using scrambled response mechanism for sensitive population mean in successive sampling
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Publication:5078297
DOI10.1080/03610926.2017.1422762OpenAlexW2794411822MaRDI QIDQ5078297
Kumari Priyanka, Pidugu Trisandhya
Publication date: 23 May 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2017.1422762
mean squared errorbiaspopulation meansensitive variableclass of estimatorsscrambled response modeloptimum matching fractionsuccessive moves
Related Items (3)
Calibration estimators for quantitative sensitive mean estimation under successive sampling ⋮ An efficient new scrambled response model for estimating sensitive population mean in successive sampling ⋮ Application of item sum technique for estimating quantitative sensitive mean on successive moves using auxiliary information
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