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Original Articles

Valid estimates for repeated randomized response methods

Pages 2994-3010 | Received 10 Feb 2016, Accepted 22 Nov 2016, Published online: 20 Dec 2016

References

  • S.M.R. Alavi and M. Tajodini, Maximum likelihood estimation of sensitive proportion using repeated randomized response techniques, J. Appl. Stat. 43 (2016), pp. 563–571. doi: 10.1080/02664763.2015.1070811
  • R.F. Boruch, Assuring confidentiality of responses in social research: A note on strategies, Am. Sociol. 6 (1971), pp. 308–311.
  • P.D. Bourke, On the Analysis of some multivariate randomized response designs for categorical data, J. Statist. Plann. Inference 5 (1981), pp. 165–170. doi: 10.1016/0378-3758(81)90026-4
  • A. Chaudhuri, Randomized Response and Indirect Questioning Techniques in Surveys, Chapman & Hall/CRC, Boca Raton, 2011.
  • A.P. Dempster, N.M. Laird, and D.B. Rubin, Maximum likelihood from incomplete data via the EM algorithm, J. R. Stat. Soc. B 39 (1977), pp. 1–38.
  • B.G. Greenberg, A.A. Abul-Ela, W.R. Simmons, and D.G. Horvitz, The unrelated question randomized response model: Theoretical framework, J. Amer. Statist. Assoc. 64 (1969), pp. 520–539. doi: 10.1080/01621459.1969.10500991
  • H. Groenitz, A new privacy-protecting survey design for multichotomous sensitive variables, Metrika 77 (2014), pp. 211–224. doi: 10.1007/s00184-012-0406-8
  • H. Groenitz, A covariate nonrandomized response model for multicategorical sensitive variables, Comput. Statist. Data Anal. 103 (2016), pp. 124–138. doi: 10.1016/j.csda.2016.04.007
  • H. Groenitz, Risk-optimal estimators for survey procedures with certain indirect questions, Math. Methods Statist. 25 (2016), pp. 133–144. doi: 10.3103/S1066530716020046
  • D.G. Horvitz, B.V. Shah, and W.R. Simmons, The unrelated question randomized response model, Proceedings of the Social Statistics Section, American Statistical Association, 1967, pp. 65–72.
  • Y. Liu and G.L. Tian, A variant of the parallel model for sample surveys with sensitive characteristics, Comput. Statist. Data Anal. 67 (2013), pp. 115–135. doi: 10.1016/j.csda.2013.05.003
  • N.S. Mangat, An improved randomized response strategy, J. R. Stat. Soc. B 56 (1994), pp. 93–95.
  • N.S. Mangat and R. Singh, An alternative randomized response procedure, Biometrika 77 (1990), pp. 439–442. doi: 10.1093/biomet/77.2.439
  • M.L. Tang, G.L. Tian, N.S. Tang, and Z. Liu, A new non-randomized multi-category response model for surveys with a single sensitive question: Design and analysis, J. Korean Statist. Soc. 38 (2009), pp. 339–349. doi: 10.1016/j.jkss.2008.12.004
  • G.L. Tian and M.L. Tang, Incomplete Categorical Data Design: Non-randomized Response Techniques for Sensitive Questions in Surveys, CRC Press, Boca Raton, 2014.
  • G.L. Tian, J.W. Yu, M.L. Tang, and Z. Geng, A new non-randomized model for analysing sensitive questions with binary outcomes, Stat. Med. 26 (2007), pp. 4238–4252. doi: 10.1002/sim.2863
  • S.L. Warner, Randomized response: A survey technique for eliminating evasive answer bias, J. Amer. Statist. Assoc. 60 (1965), pp. 63–69. doi: 10.1080/01621459.1965.10480775
  • J.W. Yu, G.L. Tian, and M.L. Tang, Two new models for survey sampling with sensitive characteristic: Design and analysis, Metrika 67 (2008), pp. 251–263. doi: 10.1007/s00184-007-0131-x

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