03799nam a22004575i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001200153072001600165072002300181072001500204100008000219245015000299250001800449264007200467300004500539336002600584337002600610338003600636347002400672505077100696520131801467650002702785650003502812650002902847650002102876650002402897650005202921650003502973700007903008700007603087710003403163773002603197776003603223776003603259856004603295978-981-99-9669-8DE-He21320251030111754.0cr nn 008mamaa240329s2024    si |    s    |||| 0|eng d  a97898199966987 a10.1007/978-981-99-9669-82doi 4aQA276.6 7aPBT2bicssc 7aMAT0290002bisacsh 7aPBT2thema1 aChaudhuri, Arijit.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aRandomized Response Techniquesh[electronic resource] :bCertain Thought-Provoking Aspects /cby Arijit Chaudhuri, Sanghamitra Pal, Dipika Patra.  a1st ed. 2024. 1aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024.  aXVIII, 190 p. 4 illus.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda0 aGenesis, 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.  aThis 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. 0aSampling (Statistics). 0aComputer sciencexMathematics. 0aMathematical statistics. 0aData protection.14aSurvey Methodology.24aProbability and Statistics in Computer Science.24aData and Information Security.1 aPal, Sanghamitra.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut1 aPatra, Dipika.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978981999668108iPrinted edition:z978981999670440uhttps://doi.org/10.1007/978-981-99-9669-8