An innovative randomized response model based on a customizable random tool

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.

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Publication Details

Journal
PLoS ONE
Published
2025-04-18
DOI
https://doi.org/10.1371/journal.pone.0319780
Primary Topic
Survey Sampling and Estimation Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

An innovative randomized response model based on a customizable random tool

Abdullah H. Al-Nefaie, Mahmaod Alrawad, Mohammad A. Zayed, Ahmad M. AboAlkhair et al.
PLoS ONE
Survey Sampling and Estimation Techniques
article

An innovative randomized response model based on a customizable random tool

Abdullah H. Al-Nefaie, Mahmaod Alrawad, Mohammad A. Zayed, Ahmad M. AboAlkhair, A. M. Elshehawey, Tamer Elbayoumi
article en

Abstract

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.

PLoS ONEVol. 20(4)
Al-Hussein Bin Talal University (JO), Damietta University (EG), Mansoura University (EG), North Carolina Agricultural and Technical State University (US), King Faisal University (SA)
Deanship of Scientific Research, King Faisal University
Peace, Justice and strong institutions
Openalex Percentile: Top 92%
Survey Sampling and Estimation Techniques
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