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Communications in Statistics - Theory and Methods Volume 46, 2017 - Issue 23
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Original Articles

An efficient randomized response model utilizing higher order moments ratios of scrambling variables

Housila P. SinghSchool of Studies in Statistics, Vikram University, Ujjain, MP, India
&
Swarangi M. GoreySchool of Studies in Statistics, Vikram University, Ujjain, MP, IndiaCorrespondence[email protected]
Pages 11712-11720 | Received 28 Apr 2016, Accepted 27 Dec 2016, Published online: 24 Aug 2017

References

  • Chaudhari, A., R. Mukerjee. 1988. Randomized response: Theory and techniques. New York, USA: Marcel-Dekker.
  • Fox, J. A., P. E. Tracy. 1986. Randomized Response: A method of sensitive surveys. Newbury Park, CA: SEGE Publications.
  • Gjestvang, C. R., S. Singh. 2006. A new randomized response model. Journal of the Royal Statistical Society, Series B 68:523–30.
  • Gjestvang, C. R., S. Singh. 2009. An improved randomized response model: Estimation of mean. Journal of Applied Statistics 36 (12):1361–67.
  • Mangat, N. S. 1994. An improved randomized response strategy. Journal of the Royal Statistical Society, B 56 (1):93–5.
  • Mangat, N. S., R. Singh. 1990. An alternative randomized procedure. Biometrika 77:439–42.
  • Sen, A. R. 1978. Estimation of the population mean when the coefficient of variation is known. Communications in Statistics-Theory and Methods 7 (7):657–72.
  • Singh, H. P., N. Mathur. 2004. Estimation of population mean with known coefficient of variation under optimal randomized response model using scrambled response technique. Statistics in Transition 6 (7):1079–93.
  • Singh, H. P., N. Mathur. 2005. Estimation of the population mean when the coefficient of variation is known using scrambled response technique. Journal of Statistical Planning and Inference 131:135–44.
  • Singh, H. P., T. A. Tarray. 2014. An improvement randomized response additive model. Srilankan Journal of Applied Statistics 15 (2):131–38.
  • Singh, S. 2010. Proposed optimal orthogonal new additive model (POONAM). Statistica 70 (1):73–81.
  • Singh, S., C. C. Chen. 2009. Utilization of higher order moments of scrambling variables in randomized response sampling. Journal of Statistical Planning and Inference 139 (9):3377–80.
  • Tarray, T. A., H. P. Singh. 2015. Some Improved additive randomized response models utilizing higher order moments ratios of Scrambling variables. Model Assisted Statistics and Applications 10:361–83.
  • Upadhyaya, L. N., H. P. Singh. 1984. On the estimation of the population mean with known coefficient of variation. Biometrical Journal 26 (8):915–22.
  • Warner, S. L. 1965. Randomized response: A survey technique for eliminating evasive answer bias. Journal of the American Statistical Association 60:63–9.

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