TY - JOUR
T1 - Enhanced-Efficiency Randomized Response Model
T2 - A Simplified Framework
AU - Aboalkhair, Ahmad M.
AU - El-Hosseiny, El Emam
AU - Zayed, Mohammad A.
AU - Elbayoumi, Tamer
AU - Ibrahim, Mohamed
AU - Elshehawey, A. M.
N1 - Publisher Copyright:
Copyright © 2025 International Academic Press
PY - 2025/9/26
Y1 - 2025/9/26
N2 - 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.
AB - 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.
KW - Sample surveys
KW - privacy protection
KW - randomized response technique
KW - sensitive inquiries
KW - sensitive trait
UR - https://www.scopus.com/pages/publications/105017293653
U2 - 10.19139/soic-2310-5070-2658
DO - 10.19139/soic-2310-5070-2658
M3 - Article
SN - 2311-004X
VL - 14
SP - 1813
EP - 1820
JO - Statistics, Optimization and Information Computing
JF - Statistics, Optimization and Information Computing
IS - 4
ER -