Data Gathering, Analysis and Protection of Privacy Through R

Erscheinungsjahr 2016
ISBN: 978-0-444-63570-9
Verlag: Elsevier Science & Technology

Buch, Englisch, 544 Seiten, Format (B × H): 159 mm x 238 mm, Gewicht: 998 g

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.

Zielgruppe

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

Autoren/Hrsg.

Chaudhuri, Arijit

Weitere Mitwirkende

Chaudhuri, Arijit

Christofides, Tasos C.

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik

Inhaltsverzeichnis

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

Über Autor(innen)

Christofides, Tasos C.
Tasos C. Christofides is a Professor in the Department of Mathematics and Statistics of the University of Cyprus. He completed his Ph.D. in Mathematical Sciences at Johns Hopkins University in 1987, under the supervision of Professor Robert Serfling. From 1987 until 1991 he was an Assistant Professor in the Department of Mathematical Sciences at the State University of New York at Binghamton. In 1991 he joined the newly founded University of Cyprus and the Department of Mathematics and Statistics, becoming its first Chairman. His areas of expertise include indirect questioning techniques and probability inequalities. He is co-author (with Professor Arijit Chaudhuri) of a recent book on Indirect Questioning Techniques in Sample Surveys (Springer, Heidelberg 2013) and author of a number of papers on randomized response and indirect questioning techniques in general. He serves on the editorial board of various journals of probability and statistics. He has participated in a number of research projects and has provided consulting services for various organizations including the Statistical Service of Cyprus. He serves on various national and international scientific and expert committees, among them, the European Statistical Advisory Committee.

Chaudhuri, Arijit
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.