A unified measure of respondent privacy and model efficiency in quantitative RRT models-Reference-Cited by-同舟云学术

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A unified measure of respondent privacy and model efficiency in quantitative RRT models

Published:2018-01-15 Issue:3 Volume:12 Page:506-511
ISSN:1559-8608
Container-title:Journal of Statistical Theory and Practice
language:en
Short-container-title:Journal of Statistical Theory and Practice

Author:

Gupta Sat¹,Mehta Samridhi²,Shabbir Javid³,Khalil Sadia⁴

Affiliation:

1. Department of Mathematics and Statistics, University of North Carolina at Greensboro, Greensboro, North Carolina, USA

2. Department of Mathematics, Hindu College, University of Delhi, Delhi, India

3. Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan

4. Department of Statistics, Lahore College for Women University, Lahore, Pakistan

Publisher

Springer Science and Business Media LLC

Subject

Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/15598608.2017.1415175

Reference10 articles.

1. Indirect Questioning in Sample Surveys

2. Scrambled randomized response methods for obtaining sensitive quantitative data

3. Estimation of sensitivity level of personal interview survey questions

4. Mean and sensitivity estimation in optional randomized response models

5. On the Degree of Protection in Randomized Interviews

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1. A new unified measure for evaluation of randomized response techniques;Heliyon;2024-08

2. A novel randomized scrambling technique for mean estimation of a finite population;Heliyon;2024-06

3. A versatile optional randomized response technique for use with sensitive surveys;VFAST Transactions on Mathematics;2024-04-27

4. Non-randomized scrambling models for sensitive quantitative attribute using innocuous characteristics;Journal of Statistical Computation and Simulation;2024-04-23

5. Accounting for Measurement Error and Untruthfulness in Binary RRT Models;Mathematics;2024-03-16

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