Enhanced-Efficiency Randomized Response Model: A Simplified Framework

The key challenge in advancing randomized response techniques lies in enhancing efficiency while ensuring simplicity and ease of implementation. This research presents a fresh randomized response framework that achieves comparable effectiveness with fewer randomization devices, simplifying its real-world deployment. Compared to Aboalkhair’s (2025) model that depend on two randomization tools, the suggested method delivers equivalent efficiency with only a single tool. The study evaluates the new model’s superiority over existing approaches and establishes a measure of privacy protection. Through theoretical analysis and numerical comparisons, the results demonstrate distinct efficiency benefit of the suggested model.

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Publication Details

Journal
Statistics Optimization & Information Computing
Published
2025-07-13
DOI
https://doi.org/10.19139/soic-2310-5070-2658
Primary Topic
Survey Sampling and Estimation Techniques
Type
article
Field-Weighted Citation Impact
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article

Enhanced-Efficiency Randomized Response Model: A Simplified Framework

Mohamed Ibrahim, Mohammad A. Zayed, Ahmad M. AboAlkhair, A. M. Elshehawey et al.
Statistics Optimization & Information Computing
Survey Sampling and Estimation Techniques
article

Enhanced-Efficiency Randomized Response Model: A Simplified Framework

Mohamed Ibrahim, Mohammad A. Zayed, Ahmad M. AboAlkhair, A. M. Elshehawey, Tamer Elbayoumi, El-Emam El-Hosseiny
article en

Abstract

The key challenge in advancing randomized response techniques lies in enhancing efficiency while ensuring simplicity and ease of implementation. This research presents a fresh randomized response framework that achieves comparable effectiveness with fewer randomization devices, simplifying its real-world deployment. Compared to Aboalkhair’s (2025) model that depend on two randomization tools, the suggested method delivers equivalent efficiency with only a single tool. The study evaluates the new model’s superiority over existing approaches and establishes a measure of privacy protection. Through theoretical analysis and numerical comparisons, the results demonstrate distinct efficiency benefit of the suggested model.

Statistics Optimization & Information ComputingVol. 14(4)
Damietta University (EG), Mansoura University (EG), Imam Mohammad ibn Saud Islamic University (SA), North Carolina Agricultural and Technical State University (US), Islamic University (BD), King Faisal University (SA)
Openalex Percentile: Top 74%
Survey Sampling and Estimation Techniques
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Enhanced-Efficiency Randomized Response Model: A Simplified Framework — Mohamed Ibrahim, Mohammad A. Zayed, et al. · Statistics Optimization & Information Computing (2025) | TGRS Research Map | TGRS