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dc.contributor.authorChaudhuri, Arijiten
dc.contributor.authorChristofides, Tasos C.en
dc.creatorChaudhuri, Arijiten
dc.creatorChristofides, Tasos C.en
dc.date.accessioned2019-12-02T10:34:20Z
dc.date.available2019-12-02T10:34:20Z
dc.date.issued2007
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/56608
dc.description.abstractIn assessing the prevalence of a sensitive attribute like habitual heroin consumption in a community of people, indirect questioning is a necessity to extract truth on ensuring protection of privacy. The current literature seems to need supplementary specification of a relevant practical and theoretical justification for one possibility by what is called an Item Count Technique. This method can be easily incorporated in large scale sample surveys where the medium of collecting information is a structured questionnaire. This feature will make this technique attractive to social survey researchers. In this article we present an amendment to the currently available technique rendering it well-equipped with a provision to protect privacy and also a sound theoretical foundation. © 2006 Elsevier B.V. All rights reserved.en
dc.sourceJournal of Statistical Planning and Inferenceen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-33749329510&doi=10.1016%2fj.jspi.2006.01.004&partnerID=40&md5=440f0604b5af44ab79b25b630cc89058
dc.subjectIndirect questioningen
dc.subjectProtecting privacyen
dc.subjectRandomized responseen
dc.subjectSophisticated estimationen
dc.subjectUnequal probability samplingen
dc.titleItem Count Technique in estimating the proportion of people with a sensitive featureen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1016/j.jspi.2006.01.004
dc.description.volume137
dc.description.issue2
dc.description.startingpage589
dc.description.endingpage593
dc.author.facultyΣχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics
dc.type.uhtypeArticleen
dc.description.notes<p>Cited By :20</p>en
dc.source.abbreviationJ.Stat.Plann.Inferenceen
dc.contributor.orcidChristofides, Tasos C. [0000-0001-6121-0683]
dc.gnosis.orcid0000-0001-6121-0683


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