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Articles

A mixture binary RRT model with a unified measure of privacy and efficiency

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Pages 2727-2737 | Received 07 Sep 2020, Accepted 04 Apr 2021, Published online: 24 Apr 2021

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Sat Gupta, Joia Zhang, Sadia Khalil & Pujita Sapra. (2022) Mitigating lack of trust in quantitative randomized response technique models. Communications in Statistics - Simulation and Computation 0:0, pages 1-9.
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William McCance, Sat Gupta, Sadia Khalil & Wenhao Shou. Binary Randomized Response Technique (RRT) models under measurement error. Communications in Statistics - Simulation and Computation 0:0, pages 1-8.
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Articles from other publishers (6)

Bailey Meche, Venu Poruri, Sat Gupta & Sadia Khalil. (2024) Accounting for Measurement Error and Untruthfulness in Binary RRT Models. Mathematics 12:6, pages 875.
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Fatimah M. Alghamdi, Frank P. A. Coolen & Tahani Coolen-Maturi. (2024) Reproducibility of Statistical Tests Based on Randomised Response Data. Journal of Statistical Theory and Practice 18:1.
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Pujita Sapra, Somya Mohanty, Sadia Khalil & Sat Gupta. (2023) A Hybrid Paillier Encryption and Randomized Response Technique Model for Surveying Sensitive Questions with Binary Response. Journal of Statistical Theory and Practice 18:1.
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Michael Parker, Sat Gupta & Sadia Khalil. (2023) A Mixture Quantitative Randomized Response Model That Improves Trust in RRT Methodology. Axioms 13:1, pages 11.
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Fan Huanyu, Qing Ye & Shan Chao. (2022) A privacy measurement model for privacy-preserving stream histogram publishing. A privacy measurement model for privacy-preserving stream histogram publishing.
Pujita Sapra, Sadia Khalil & Sat Gupta. (2022) Accounting for Lack of Trust in Optional Binary RRT Models Using a Unified Measure of Privacy and Efficiency. Journal of Statistical Theory and Practice 16:3.
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