04180nam a22005415i 4500 978-981-99-9669-8 DE-He213 20251030111754.0 cr nn 008mamaa 240329s2024 si | s |||| 0|eng d 9789819996698 978-981-99-9669-8 10.1007/978-981-99-9669-8 doi QA276.6 PBT bicssc MAT029000 bisacsh PBT thema Chaudhuri, Arijit. author. aut http://id.loc.gov/vocabulary/relators/aut 74357 Randomized Response Techniques [electronic resource] : Certain Thought-Provoking Aspects / by Arijit Chaudhuri, Sanghamitra Pal, Dipika Patra. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XVIII, 190 p. 4 illus. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Genesis, background and the need for Randomized Response Techniques (RRT) -- Reviews of background material on RRT -- How to use Randomized Response survey data obtained by a specific procedure to judge its efficiency relative to a possible rival -- Fixing the size of a varying probability sample in a Direct and a Randomized Response survey -- Likelihood approach and its ramifications -- Optional Randomized Response Technique (ORRT) -- Protection of Privacy -- Variation from classical data generating procedures by repeated drawing -- Other Topics beyond Chaudhuri (2011) and Chaudhuri and Christofides (2013) -- Topics covered in the literature subsequent to Chaudhuri (2011) -- Alternatives to RRT in studying sensitive and stigmatizing issues -- An epilogue. This book presents an up-to-date perspective on randomized response techniques (RRT). It discusses the most appropriate and efficient procedures of RRT for analysing data from queries dealing with sensitive and confidential issues, including the treatment of infinite and finite population setups. The book aims to spark a renewed interest among sampling experts who may have overlooked RRT. By addressing the missing topics and incorporating a wide range of contributors' works, it seeks to foster an appreciative academic environment and inspire a reformed and amended view of RRT. As the book unfolds, readers will gain valuable insights into the evolving landscape of RRT and its applications, positioning them at the forefront of this engaging field of study. On RRT, the literature has grown immensely since its inception in 1965 by S.L. Warner. Despite several books published on the subject, there are still two crucial topics missing from the existing RRT literature. This book aims to address these gaps and provide valuable insights to curious readers in the field. The book is mandatory reading for statisticians and biostatisticians, market researchers, operations researchers, pollsters, sociologists, political scientists, economists and advanced undergraduate and graduate students in these areas. Sampling (Statistics). 59805 Computer science Mathematics. 64041 Mathematical statistics. 67233 Data protection. Survey Methodology. 74358 Probability and Statistics in Computer Science. 67234 Data and Information Security. 66492 Pal, Sanghamitra. author. aut http://id.loc.gov/vocabulary/relators/aut 74359 Patra, Dipika. author. aut http://id.loc.gov/vocabulary/relators/aut 74360 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819996681 Printed edition: 9789819996704 https://doi.org/10.1007/978-981-99-9669-8 ZDB-2-SMA ZDB-2-SXMS 58799 58799