Accounting for Lack of Trust in Optional Binary RRT Models Using a Unified Measure of Privacy and Efficiency
Author:
Publisher
Springer Science and Business Media LLC
Subject
Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s42519-022-00279-3.pdf
Reference18 articles.
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2. Gupta S, Gupta B, Singh S (2002) Estimation of sensitivity level of personal interview survey questions. J Stat Plan Inference 100(2):239–247
3. Gupta S, Mehta S, Shabbir J, Khalil S (2018) A unified measure of respondent privacy and model efficiency in quantitative rrt models. J Stat Theory Pract 12(3):506–511
4. Gupta S, Mehta S, Shabbir J, Khalil S (2018) A unified measure of respondent privacy and model efficiency in quantitative rrt models. J Stat Theory Pract 12(3):506–511
5. Gupta S, Shabbir J, Sehra S (2010) Mean and sensitivity estimation in optional randomized response models. J Stat Plan Inference 140(10):2870–2874
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A Ratio Estimator for the of Mean of a Sensitive Variable in the Presence of Lack of Trust in RRT and Measurement Errors;2024-05-21
2. A Hybrid Paillier Encryption and Randomized Response Technique Model for Surveying Sensitive Questions with Binary Response;Journal of Statistical Theory and Practice;2023-12-27
3. Correction to: Accounting for Lack of Trust in Optional Binary RRT Models Using a Unified Measure of Privacy and Efficiency;Journal of Statistical Theory and Practice;2022-08-05
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