Data Gathering, Analysis and Protection of Privacy Through Randomized Response Techniques: Qualitative and Quantitative Human Traits
- 1st Edition, Volume 34 - April 13, 2016
- Editors: Arijit Chaudhuri, Tasos C. Christofides, C.R. Rao
- Language: English
- Hardback ISBN:9 7 8 - 0 - 4 4 4 - 6 3 5 7 0 - 9
- eBook ISBN:9 7 8 - 0 - 4 4 4 - 6 3 5 7 1 - 6
Data Gathering, Analysis and Protection of Privacy through Randomized Response Techniques: Qualitative and Quantitative Human Traits tackles how to gather and analyze data rela… Read more
Purchase options
Institutional subscription on ScienceDirect
Request a sales quoteData 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
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
- No. of pages: 544
- Language: English
- Edition: 1
- Volume: 34
- Published: April 13, 2016
- Imprint: North Holland
- Hardback ISBN: 9780444635709
- eBook ISBN: 9780444635716
AC
Arijit Chaudhuri
Professor Arijit Chaudhuri (1940) has a Ph.D, M.A. and B.A. (Statistics) from Calcutta University(CU), was Lecturer in Statistics in Presidency College (1963-68) and CU (1968-77) and Associate Professor in Indian Statistical Institute (ISI) (1977-1981), a Professor at ISI (1982-2002) and Honorary Visiting Professor there since then including a position as CSIR Emeritus Scientist at ISI (2002-2005). He still regularly teaches B.Stat and M.Stat courses at ISI.
Internationally he was a Post-Doc fellow at Sydney University (1973-75), a Visiting Professor (1989-1990) at Virginia Tech, Nebraska-Lincoln University (1997), Delft University (1985). Ha also worked on scientific assignments in Ottawa, Waterloo, Mannheim, Utrecht, Lund, Umea, Stockholm, Southampton, Jerusalem, Cyprus, Havana, Istanbul, Chiba, Durban (universities & Statistical Offices) intermittently over 1979-2009.
He has successfully guided 10 Ph.D. students.
He has published 10 books/monographs:
- Network & adaptive Sampling (2014) CRC Press
- Modern Survey Sampling (2014) CRC Press
- Indirect Questioning in sample surveys (with TC Christofides)(2013), Springer Verlag
- Randomized Response and Indirect Questioningtechniques in surveys (2011),CRC Press
- Essentials of Survey Sampling (2010), Prentice Hall of India
- Survey Sampling Theory & Methods (with H.Stenger) ( 1st edition, 1992,Marcel Dekker)
- 2nd revised and enhanced edition, 2005, CRC Press
- Randomized response theory & Techniques (1988) (with Rahul Mukerjee),Marcel Dekker
- Unified Theory and Strategies of Survey Sampling (1988)(with late JWE Vos), North Holland (Elsevier)
- Developing small Domain Statistics:Modeling in survey sampling; (2012) , e-Book, LAP, Saarbrucken, Germany
In addition he has has published 125 peer-reviewed papers alone and jointly in journals including Biometrika, Int. Stat. Rev, Metrika, Stat. Neerlandica, Aust. J.Stat., JSPI, Comm. Stat (Theo. Meth and Comp. Simul), Sankhya, Cal. Stat. Assoc. Bull., J. Ind. Soc. Agri. Stat.
TC
Tasos C. Christofides
CR
C.R. Rao
He retired from ISI in 1980 at the mandatory age of 60 after working for 40 years during which period he developed ISI as an international center for statistical education and research. He also took an active part in establishing state statistical bureaus to collect local statistics and transmitting them to Central Statistical Organization in New Delhi. Rao played a pivitol role in launching undergraduate and postgraduate courses at ISI. He is the author of 475 research publications and several breakthrough papers contributing to statistical theory and methodology for applications to problems in all areas of human endeavor. There are a number of classical statistical terms named after him, the most popular of which are Cramer-Rao inequality, Rao-Blackwellization, Rao’s Orthogonal arrays used in quality control, Rao’s score test, Rao’s Quadratic Entropy used in ecological work, Rao’s metric and distance which are incorporated in most statistical books.
He is the author of 10 books, of which two important books are, Linear Statistical Inference which is translated into German, Russian, Czec, Polish and Japanese languages,and Statistics and Truth which is translated into, French, German, Japanese, Mainland Chinese, Taiwan Chinese, Turkish and Korean languages.
He directed the research work of 50 students for the Ph.D. degrees who in turn produced 500 Ph.D.’s. Rao received 38 hon. Doctorate degree from universities in 19 countries spanning 6 continents. He received the highest awards in statistics in USA,UK and India: National Medal of Science awarded by the president of USA, Indian National Medal of Science awarded by the Prime Minister of India and the Guy Medal in Gold awarded by the Royal Statistical Society, UK. Rao was a recipient of the first batch of Bhatnagar awards in 1959 for mathematical sciences and and numerous medals in India and abroad from Science Academies. He is a Fellow of Royal Society (FRS),UK, and member of National Academy of Sciences, USA, Lithuania and Europe. In his honor a research Institute named as CRRAO ADVANCED INSTITUTE OF MATHEMATICS, STATISTICS AND COMPUTER SCIENCE was established in the campus of Hyderabad University.