Abstract
The key challenge in advancing randomized response techniques lies in enhancing efficiency while ensuring simplicity and ease of implementation. This research presents a fresh randomized response framework that achieves comparable effectiveness with fewer randomization devices, simplifying its real-world deployment. Compared to Aboalkhair’s (2025) model that depend on two randomization tools, the suggested method delivers equivalent efficiency with only a single tool. The study evaluates the new model’s superiority over existing approaches and establishes a measure of privacy protection. Through theoretical analysis and numerical comparisons, the results demonstrate distinct efficiency benefit of the suggested model.
| Original language | English |
|---|---|
| Pages (from-to) | 1813-1820 |
| Number of pages | 8 |
| Journal | Statistics, Optimization and Information Computing |
| Volume | 14 |
| Issue number | 4 |
| DOIs | |
| State | Published - Sep 26 2025 |
Keywords
- privacy protection
- randomized response technique
- Sample surveys
- sensitive inquiries
- sensitive trait
Fingerprint
Dive into the research topics of 'Enhanced-Efficiency Randomized Response Model: A Simplified Framework'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver