Data Gathering, Analysis and Protection of Privacy Through Randomized Response Techniques: Qualitative and Quantitative Human Traits, Vol 34. Handbook of Statistics

  • ID: 3627154
  • Book
  • 544 Pages
  • Elsevier Science and Technology
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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

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Preface

  Arijit Chaudhuri

1. Review of Certain Recent Advances in Randomized Response Techniques

  T.J. Rao and CR Rao

2. The background and genesis of Randomized Response Techniques

  Arijit Chaudhuri

3. How Randomized Response Techniques Need Not be Confined to Simple Random Sampling but Liberally Applicable to General Sampling Schemes

  Arijit Chaudhuri

4. The Classical Randomized Response Techniques

  Tasos Christofides

5. On the estimation of correlation coefficient using scrambled responses

  Sarjinder Singh

6. Admissible and Optimal Estimation in Finite Population Sampling under Randomized Response Models

  Samindranath Sengupta

7. A mixture of true and randomized responses in the estimation of the number of people having a certain attribute

  Andreas Quatember

8. Estimation of complex population parameters under the randomized response theory

  Lucio Barabesi

9. An Efficient Randomized Response Model Using Two Decks of Cards Under Simple and Stratified Random Sampling

  Sally Abdelfatah and Reda Mazloum

10. Software for Randomized Response Techniques

  Maria del Mar Rueda

11. Post-Stratification based on the Choice of Use of a Quantitative Randomization Device

  Oluseun Odumade

12. Variance Estimation in Randomized Response Surveys

  Arun Kumar Adhikary

13. Behavior of some scrambled randomized response models under simple random sampling, ranked set sampling and Rao-Hartley-Cochran designs

  Carlos N. Bouza-Herrera

14. Estimation of a Finite Population Variance under Linear Models for Randomized Response Designs

  Parimal Mukhopadhyay

15. Randomized Response and New Thoughts on Politz-Simmons Technique

  T.J. Rao

16. Optional Randomized Response: A Critical Review

  Raghunath Arnab

17. A Concise Theory of Randomized Response Techniques for Privacy and Confidentiality Protection

  Tapan Nayak

18. A review of regression procedures for randomized response data, including univariate and multivariate logistic regression, the proportional odds model and item response models

  Peter van der Heijden

19. Eliciting Information on Sensitive Features: Block Total Response Technique and Related Inference

  Bikas Kumar Sinha

20. Optional Randomized Response Revisited 

  Rahul Mukerjee

21. Measures of respondent privacy in randomized response surveys

  Mausumi Bose

22. Cramer-Rao lower bounds of variance for estimating two proportions and their overlap by using two-decks of cards

  Sarjinder Singh

23. Estimating a finite population proportion bearing a sensitive attribute from a single probability sample by Item Count Technique

  Purnima Shaw

24. Surveying a varying probability Adaptive Sample to Estimate Cost of Hospital Treatments of sensitive diseases by RR Data Gathering

  Sanghamitra Pal

25. Estimation of means of two rare sensitive characteristics: Cramer-Rao lower bound of variances

  Sarjinder Singh

26. Estimating sensitive population proportion by generating randomized response following direct and inverse hypergeometric distribution

  Kajal Dihidar

27. Incredibly efficient use of a Negative Hypergeometric distribution in randomized response Techniques

  Sarjinder Singh

28. Comparison of Different Imputing Methods for Scrambled Responses

  Sarjinder Singh

29. On an indirect response model

  V R. Padmawar
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