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Estimation of Finite Population Mean Using Optional RRT Models in the Presence of Nonsensitive Auxiliary Information

2014; Taylor & Francis; Volume: 33; Issue: 2 Linguagem: Inglês

10.1080/01966324.2014.908332

2325-8454

Sushil K. Gupta, Geeta Kalucha, Javid Shabbir, Bal Kishan Dass,

HIV, Drug Use, Sexual Risk

SYNOPTIC ABSTRACTSousa, Shabbir, Corte-Real, and Gupta (2010) and Gupta, Shabbir, Sousa, and Corte-Real (2012) have presented ratio and regression estimators for the finite population mean of a sensitive study variable utilizing nonsensitive auxiliary information. We improve the results further by using optional scrambling. In the process, we also estimate the sensitivity level of the underlying sensitive question. We compare the proposed method with Sousa et al. (2010) and Gupta et al. (2012) estimators.