Description
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 subject has grown tremendously, with continued growth. This book comprehensively consolidates the literature to commemorate the inception of RR.- Brings together all relevant aspects of randomized response and indirect questioning- Tackles how to gather and analyze data relating to stigmatizing human traits- Gives an encyclopedic coverage of the topic- Covers recent developments and extrapolates to future trends
Table of Contents
1. Review of Certain Recent Advances in Randomized Response TechniquesT.J. Rao and CR Rao 2. The background and genesis of Randomized Response TechniquesArijit Chaudhuri3. How Randomized Response Techniques Need Not be Confined to Simple Random Sampling but Liberally Applicable to General Sampling SchemesArijit Chaudhuri4. The Classical Randomized Response TechniquesTasos Christofides5. On the estimation of correlation coefficient using scrambled responsesSarjinder Singh6. Admissible and Optimal Estimation in Finite Population Sampling under Randomized Response Models Samindranath Sengupta7. A mixture of true and randomized responses in the estimation of the number of people having a certain attributeAndreas Quatember8. Estimation of complex population parameters under the randomized response theoryLucio Barabesi9. An Efficient Randomized Response Model Using Two Decks of Cards Under Simple and Stratified Random SamplingSally Abdelfatah and Reda Mazloum 10. Software for Randomized Response TechniquesMaria del Mar Rueda11. Post-Stratification based on the Choice of Use of a Quantitative Randomization DeviceOluseun Odumade12. Variance Estimation in Randomized Response SurveysArun Kumar Adhikary13. Behavior of some scrambled randomized response models under simple random sampling, ranked set sampling and Rao-Hartley-Cochran designsCarlos N. Bouza-Herrera14. Estimation of a Finite Population Variance under Linear Models for Randomized Response DesignsParimal Mukhopadhyay15. Randomized Response and New Thoughts on Politz-Simmons TechniqueT.J. Rao16. Optional Randomized Response: A Critical ReviewRaghunath Arnab17. A Concise Theory of Randomized Response Techniques for Privacy and Confidentiality ProtectionTapan Nayak18. A review of regression procedures for randomized response data, including univariate and multivariate logistic regression, the proportional odds model and item response modelsPeter van der Heijden19. Eliciting Information on Sensitive Features: Block Total Response Technique and Related InferenceBikas Kumar Sinha20. Optional Randomized Response RevisitedRahul Mukerjee21. Measures of respondent privacy in randomized response surveysMausumi Bose22. Cramer-Rao lower bounds of variance for estimating two proportions and their overlap by using two-decks of cards Sarjinder Singh23. Estimating a finite population proportion bearing a sensitive attribute from a single probability sample by Item Count TechniquePurnima Shaw24. Surveying a varying probability Adaptive Sample to Estimate Cost of Hospital Treatments of sensitive diseases by RR Data GatheringSanghamitra Pal25. Estimation of means of two rare sensitive characteristics: Cramer-Rao lower bound of variancesSarjinder Singh26. Estimating sensitive population proportion by generating randomized response following direct and inverse hypergeometric distributionKajal Dihidar27. Incredibly efficient use of a Negative Hypergeometric distribution in randomized response TechniquesSarjinder Singh28. Comparison of Different Imputing Methods for Scrambled ResponsesSarjinder Singh29. On an indirect response modelV R. Padmawar
