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.
Authors
- Abdullah H. Al-Nefaie
- Mahmaod Alrawad (ORCID: https://orcid.org/0000-0002-8871-3392)
- Mohammad A. Zayed (ORCID: https://orcid.org/0000-0002-0972-9653)
- Ahmad M. AboAlkhair
- A. M. Elshehawey
- Tamer Elbayoumi
Institutions
- Al-Hussein Bin Talal University (JO)
- Damietta University (EG)
- Mansoura University (EG)
- North Carolina Agricultural and Technical State University (US)
- King Faisal University (SA)
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
Funders
- Deanship of Scientific Research, King Faisal University