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Author
Pal Sanghamitra (Department of Statistics, West Bengal State University, India), Chaudhur Arijit (Applied Statistics Unit, Indian Statistical Institute, Kolkata, India), Patra Dipika (Department of Statistics, West Bengal State University, India)
Title
How Privacy May Be Protected in Optional Randomized Response Surveys
Source
Statistics in Transition, 2020, vol. 21, nr 2, s. 61-87, rys., tab., dodatek, bibliogr. s. 55-58
Keyword
Randomizacja, Badania ankietowe, Ochrona dóbr osobistych, Modele statystyczne
Randomization, Questionnaire survey, Protection of personal goods, Statistical models
Note
summ.
Abstract
There are materials in literature about how privacy on stigmatizing features like alcoholism, history of tax-evasion, or testing positive in AIDS-related testing may be partially protected by a proper application of randomized response techniques (RRT). The paper demonstrates what amendments are necessary for this approach while applying optional RRTs covering qualitative characteristics, permitting a sampled respondent either to directly reveal sensitive data or choose a randomized response respectively with complementary probabilities. Only a few standard RRTs are illustrated in the text. (original abstract)
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Bibliography
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ISSN
1234-7655
Language
eng
URI / DOI
http://dx.doi.org/10.21307/stattrans-2020-014
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