TY - JOUR
T1 - An innovative randomized response model based on a customizable random tool
AU - Aboalkhair, Ahmad M.
AU - Zayed, Mohammad A.
AU - Elbayoumi, Tamer
AU - Alnefaie, Abdullah
AU - Alrawad, Mahmaod
AU - Elshehawey, Ahmed M.
N1 - Publisher Copyright:
© 2025 Aboalkhair et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2025/4
Y1 - 2025/4
N2 - This paper suggests an innovative randomized response model utilizing customizable random tool. The suggested model offers a general framework for some previously pioneering randomized response models and generates new efficient models. Comparison of the efficiency between one of these newly generated models and other groundbreaking models through theoretical and numerical ways, demonstrates higher efficiency for the new generated model. Additionally, ethical considerations and privacy protection of the suggested model are examined.
AB - This paper suggests an innovative randomized response model utilizing customizable random tool. The suggested model offers a general framework for some previously pioneering randomized response models and generates new efficient models. Comparison of the efficiency between one of these newly generated models and other groundbreaking models through theoretical and numerical ways, demonstrates higher efficiency for the new generated model. Additionally, ethical considerations and privacy protection of the suggested model are examined.
UR - https://www.scopus.com/pages/publications/105003032174
U2 - 10.1371/journal.pone.0319780
DO - 10.1371/journal.pone.0319780
M3 - Article
SN - 1932-6203
VL - 20
JO - PLoS ONE
JF - PLoS ONE
IS - 4 April
M1 - e0319780
ER -