Kernel Density Estimation for Joint Scrambling in Sensitive Surveys
Randomized response models aim to protect respondent privacy when sampling sensitive variables but consequently compromise estimator efficiency. We propose a new sampling method, titled joint scrambling, which preserves all true responses while protecting privacy by asking each respondent to jointly...
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Main Authors: | Alvan Caleb Arulandu, Sat Gupta |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-06-01
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Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/13/13/2134 |
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