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|Additional Physical Format:||Print version:
Data Gathering, Analysis and Protection of Privacy through Randomized Response Techniques: Qualitative and Quantitative Human Traits.
Oxford : Elsevier Science, ©2016
|Material Type:||Document, Internet resource|
|Document Type:||Internet Resource, Computer File|
|All Authors / Contributors:||
Arijit Chaudhuri; Tasos C Christofides; C R Rao
|Description:||1 online resource.|
|Contents:||Front Cover; Data Gathering, Analysis and Protection of Privacy Through Randomized Response Techniques: Qualitative and Quantitative Human Traits; Copyright; Contents; Contributors; Preface; Chapter 1: Review of Certain Recent Advances in Randomized Response Techniques; 1. Introduction; 2. Warner's and Related Techniques; 3. Cryptographic RRT; 4. Reverse RRT; 5. Certain Recent Theoretical and Practical Results; 5.1. Unified Theory; 5.2. Stratification and RRT; 5.3. Cramér-Rao Lower Bound; 5.4. Game Theory and RRT; 5.5. Smart Phones and RRT; 5.6. Alternatives to RRT; 5.7. Meta Analysis. 6. EpilogueAcknowledgment; References; Chapter 2: The Background and Genesis of Randomized Response Techniques; References; Chapter 3: How Randomized Response Techniques Need not Be Confined to Simple Random Sampling but Liberally Applicable to G ... ; 1. Introduction; 2. Two Prominent RR Devices Revised for General Applications; 2.1. Warner Stanley's (1965) Device; 2.2. Simmon's RR Device Revised; 3. Quantitative RRs; 4. Protection of Privacy; 4.1. When a Characteristic Is Qualitative and SRSWR Is Allowed; 4.2. When a General Sampling Design Is Allowed to Cover a Qualitative Characteristic. 5. Bias and Mean Squared Error of rxy6. Scrambling Variables Are Independent; 7. Bias and Mean Square Error of r1; 8. Single Scrambling Variable Randomized Response Technique; 9. Bias and Mean Squared Error of r2; 10. Correlation Between Sensitive and Nonsensitive Variable; 11. Bias and Mean Square Error of r3; 12. Simulation Study; Acknowledgments; Appendix; References; Chapter 6: Admissible and Optimal Estimation in Finite Population Sampling Under Randomized Response Models; 1. Introduction; 2. Notations and Preliminaries; 3. Estimation Based on Single RR. 3.1. Nonexistence of a Best Estimator3.2. Admissibility Results; 3.3. Optimality Results; 4. Estimation Based on Independent Multiple Responses; 4.1. Nonexistence of a Best Estimator; 4.2. Admissibility Results; 4.3. Optimality Results; 5. Concluding Remarks; References; Chapter 7: A Mixture of True and Randomized Responses in the Estimation of the Number of People Having a Certain Attribute; 1. Introduction; 2. A General RR Technique for the Estimation of Group Size; 3. Combining True and Randomized Responses; 4. A Vivid Illustration of This Strategy Including True and Masked Responses.|
|Series Title:||Handbook of statistics (Amsterdam, Netherlands), v. 34.|
|Responsibility:||edited by Arijit Chaudhuri, Tasos C. Christofides, C.R. Rao.|