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Data gathering, analysis and protection of privacy through randomized response techniques : qualitative and quantitative human traits /
Data Gathering, Analysis and Protection of Privacy through Randomized Response Techniques: Qualitative and Quantitative Human Traits tackles how to gather and analyze data relating to stigmatizing human traits. S.L. Warner invented RRT and published it in JASA, 1965. In the 50 years since, the subje...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam :
Elsevier,
2016.
|
| Colección: | Handbook of statistics (Amsterdam, Netherlands) ;
v. 34. |
| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
Tabla de Contenidos:
- 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. Cram�er-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.
- 4.3. Protection of Privacy Covering Quantitative Variables5. Optional RR Techniques; References; Chapter 4: The Classical Randomized Response Techniques; 1. Introduction; 2. Warner's Randomized Response Technique; 3. The Unrelated Question Model; 4. Reading Warner (1965) and Greenberg et al. (1969) 50 Years Later; 5. Epilogue; References; Chapter 5: On the Estimation of Correlation Coefficient Using Scrambled Responses; 1. Introduction; 2. Two Scrambling Variable Randomized Response Technique; 3. Scrambling Variables Are Dependent; 4. Estimation of the Correlation Coefficient [rho]xy.
- 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.