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020 _a9789819996698
_9978-981-99-9669-8
024 7 _a10.1007/978-981-99-9669-8
_2doi
050 4 _aQA276.6
072 7 _aPBT
_2bicssc
072 7 _aMAT029000
_2bisacsh
072 7 _aPBT
_2thema
100 1 _aChaudhuri, Arijit.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_974357
245 1 0 _aRandomized Response Techniques
_h[electronic resource] :
_bCertain Thought-Provoking Aspects /
_cby Arijit Chaudhuri, Sanghamitra Pal, Dipika Patra.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXVIII, 190 p. 4 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _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.
520 _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.
650 0 _aSampling (Statistics).
_959805
650 0 _aComputer science
_xMathematics.
_964041
650 0 _aMathematical statistics.
_967233
650 0 _aData protection.
650 1 4 _aSurvey Methodology.
_974358
650 2 4 _aProbability and Statistics in Computer Science.
_967234
650 2 4 _aData and Information Security.
_966492
700 1 _aPal, Sanghamitra.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_974359
700 1 _aPatra, Dipika.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_974360
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819996681
776 0 8 _iPrinted edition:
_z9789819996704
856 4 0 _uhttps://doi.org/10.1007/978-981-99-9669-8
912 _aZDB-2-SMA
912 _aZDB-2-SXMS
999 _c58799
_d58799