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An innovative randomized response model based on a customizable random tool.

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Title: An innovative randomized response model based on a customizable random tool.
Authors: Aboalkhair AM; Department of Quantitative Methods, School of Business, King Faisal University, Al-Ahsa, Saudi Arabia.; Department of Applied Statistics and Insurance, Faculty of Commerce, Mansoura University, Mansoura, Egypt., Zayed MA; Department of Quantitative Methods, School of Business, King Faisal University, Al-Ahsa, Saudi Arabia.; Department of Applied Statistics and Insurance, Faculty of Commerce, Mansoura University, Mansoura, Egypt., Elbayoumi T; Department of Applied Statistics and Insurance, Faculty of Commerce, Mansoura University, Mansoura, Egypt.; Department of Mathematics and Statistics, North Carolina A & T State University, Greensboro, North Carolina, United States of America., Alnefaie A; Department of Quantitative Methods, School of Business, King Faisal University, Al-Ahsa, Saudi Arabia., Alrawad M; Department of Quantitative Methods, School of Business, King Faisal University, Al-Ahsa, Saudi Arabia.; College of Business Administration and Economics, Al-Hussein Bin Talal University, Ma'an, Jordan., Elshehawey AM; Department of Applied, Mathematical & Actuarial Statistics, Faculty of Commerce, Damietta University, New Damietta, Egypt.
Source: PloS one [PLoS One] 2025 Apr 18; Vol. 20 (4), pp. e0319780. Date of Electronic Publication: 2025 Apr 18 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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