A comparative analysis of proposed quantitative randomized response model

Ghulam Narjis and Javid Shabbir

Communications in Statistics - Theory and Methods, 2025, vol. 54, issue 16, 5231-5244

Abstract: In this study, a mixed quantitative randomized response (RR) model has been proposed for estimating the population mean of a sensitive variable in the presence of scrambled response under simple random sampling. The properties of proposed model are described and verified its theoretical results with empirical analysis. An impartial comparison of proposed mixed quantitative randomized response model with some existing additive, multiplicative, and mixed quantitative models are made. The model efficiency and privacy are considered in comparison, the finding suggests that proposed RR model perform better than some existing models in term of efficiency.

Date: 2025
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DOI: 10.1080/03610926.2024.2434942

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