North Holland Data Gathering, Analysis and Protection of Privacy Through Randomized Response Techniques: Qualitative and Quantitative Human Traits: Volume 34 (Handbook of Statistics, Volume 34)

Product 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. Review This volume of the Handbook of Statistics brings together all relevant aspects of randomized response and indirect questioning, expertly tackling how to gather and analyze data relating to stigmatizing human traits About the Author 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. 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. Professor C. R. Rao,