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. |
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| 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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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0319780 |
