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

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

Arijit Chaudhuri, Tasos C. Christofides, C. R. Rao
en Limba Engleză Hardback – 13 apr 2016
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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Specificații

ISBN-13: 9780444635709
ISBN-10: 044463570X
Pagini: 544
Dimensiuni: 152 x 229 x 30 mm
Greutate: 1.04 kg
Editura: ELSEVIER SCIENCE
Seria Handbook of Statistics

Public țintă

Students and researchers in diverse areas of social sciences especially those with a background in and curiosity about statistical aspects of developments.

Cuprins

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