Data Gathering, Analysis and Protection of Privacy Through Randomized Response Techniques: Qualitative and Quantitative Human Traits

<p>1. Review of Certain Recent Advances in Randomized Response Techniques<br>T.J. Rao and CR Rao <br>2. The background and genesis of Randomized Response Techniques<br>Arijit Chaudhuri<br>3. How Randomized Response Techniques Need Not be Confined to Simple Random Sampling but Liberally Applicable to General Sampling Schemes<br>Arijit Chaudhuri<br>4. The Classical Randomized Response Techniques<br>Tasos Christofides<br>5. On the estimation of correlation coefficient using scrambled responses<br>Sarjinder Singh<br>6. Admissible and Optimal Estimation in Finite Population Sampling under Randomized Response Models <br>Samindranath Sengupta<br>7. A mixture of true and randomized responses in the estimation of the number of people having a certain attribute<br>Andreas Quatember<br>8. Estimation of complex population parameters under the randomized response theory<br>Lucio Barabesi<br>9. An Efficient Randomized Response Model Using Two Decks of Cards Under Simple and Stratified Random Sampling<br>Sally Abdelfatah and Reda Mazloum <br>10. Software for Randomized Response Techniques<br>Maria del Mar Rueda<br>11. Post-Stratification based on the Choice of Use of a Quantitative Randomization Device<br>Oluseun Odumade<br>12. Variance Estimation in Randomized Response Surveys<br>Arun Kumar Adhikary<br>13. Behavior of some scrambled randomized response models under simple random sampling, ranked set sampling and Rao-Hartley-Cochran designs<br>Carlos N. Bouza-Herrera<br>14. Estimation of a Finite Population Variance under Linear Models for Randomized Response Designs<br>Parimal Mukhopadhyay<br>15. Randomized Response and New Thoughts on Politz-Simmons Technique<br>T.J. Rao<br>16. Optional Randomized Response: A Critical Review<br>Raghunath Arnab<br>17. A Concise Theory of Randomized Response Techniques for Privacy and Confidentiality Protection<br>Tapan Nayak<br>18. A review of regression procedures for randomized response data, including univariate and multivariate logistic regression, the proportional odds model and item response models<br>Peter van der Heijden<br>19. Eliciting Information on Sensitive Features: Block Total Response Technique and Related Inference<br>Bikas Kumar Sinha<br>20. Optional Randomized Response Revisited<br>Rahul Mukerjee<br>21. Measures of respondent privacy in randomized response surveys<br>Mausumi Bose<br>22. Cramer-Rao lower bounds of variance for estimating two proportions and their overlap by using two-decks of cards <br>Sarjinder Singh<br>23. Estimating a finite population proportion bearing a sensitive attribute from a single probability sample by Item Count Technique<br>Purnima Shaw<br>24. Surveying a varying probability Adaptive Sample to Estimate Cost of Hospital Treatments of sensitive diseases by RR Data Gathering<br>Sanghamitra Pal<br>25. Estimation of means of two rare sensitive characteristics: Cramer-Rao lower bound of variances<br>Sarjinder Singh<br>26. Estimating sensitive population proportion by generating randomized response following direct and inverse hypergeometric distribution<br>Kajal Dihidar<br>27. Incredibly efficient use of a Negative Hypergeometric distribution in randomized response Techniques<br>Sarjinder Singh<br>28. Comparison of Different Imputing Methods for Scrambled Responses<br>Sarjinder Singh<br>29. On an indirect response model<br>V R. Padmawar</p>