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A Journal of Theoretical and Applied Statistics
Volume 53, 2019 - Issue 2
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Original Articles

Estimation of a rare sensitive attribute for two-stage randomized response model in probability proportional to size sampling using Poisson probability distribution

G. N. SinghDepartment of Applied Mathematics, Indian Institute of Technology, Indian School of Mines, Dhanbad, India
,
C. SinghDepartment of Applied Mathematics, Indian Institute of Technology, Indian School of Mines, Dhanbad, IndiaCorrespondence[email protected]
&
S. SumanDepartment of Applied Mathematics, Indian Institute of Technology, Indian School of Mines, Dhanbad, India
Pages 387-394 | Received 20 Nov 2017, Accepted 05 Jan 2019, Published online: 21 Jan 2019

References

  • Warner SL. Randomized response: a survey technique for eliminating evasive answer bias. J Am Stat Assoc. 1965;60(309):63–69. doi: 10.1080/01621459.1965.10480775
  • Greenberg BG, Abul-Ela ALA, Simmons WR, et al. The unrelated question randomized response model: theoretical framework. J Am Stat Assoc. 1969;64(326):520–539. doi: 10.1080/01621459.1969.10500991
  • Chaudhuri A, Mukerjee R. Randomized response: theory and techniques. New York (NY): Marcel Dekker; 1988.
  • Kim JM, Elam ME. A stratified unrelated question randomized response model. Stat Pap. 2007;48(2):215–233. doi: 10.1007/s00362-006-0327-6
  • Singh HP, Tarray TA. A stratified unknown repeated trials in randomized response sampling. Commun Stat Appl Methods. 2012;19(6):751–759.
  • Singh S, Horn S, Singh R, et al. On the use of modified randomization device for estimating the prevalence of a sensitive attribute. Stat Transition. 2003;6(4):515–522.
  • Land M, Singh S, Sedory SA. Estimation of a rare sensitive attribute using Poisson distribution. Statistics (Ber). 2012;46(3):351–360. doi: 10.1080/02331888.2010.524300
  • Lee GS, Uhm D, Kim JM. Estimation of a rare sensitive attribute in probability proportional to size measures using Poisson distribution. Statistics (Ber). 2014;48(3):685–709. doi: 10.1080/02331888.2012.760091

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