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Research Article

Improved estimator for the estimation of sensitive variable using ORRT models

ORCID Icon &
Article: 2318383 | Received 09 May 2023, Accepted 08 Feb 2024, Published online: 28 Feb 2024

References

  • Ahmed S, Shabbir J, Gupta S. 2017. Use of scrambled response model in estimating the finite population mean in presence of non-response when coefficient of variation is known. Commun Stat Theory Methods. 46:8435–8449.
  • Audu A, Singh R, Khare S, Dauran, NS. 2020. Almost unbiased estimators for population mean in the presence of non-response and measurement error. J Stat Manag Syst. 24:573–589.
  • Azeem M. 2014. On estimation of population mean in the presence of measurement error and non-response [Unpublished Ph.D. thesis]. Lahore: National College of Business Administration and Economics.
  • Collins LM, Schafer JL, Kam CM. 2001. A comparison of inclusive and restrictive strategies in modern missing data procedure. Psychol Methods. 6:330–351.
  • Diana G, Riaz S, Shabbir J. 2014. Hansen and Hurwitz estimator with scrambled response on the second call. J Appl Stat. 41:596–611.
  • Gupta S, Aloraini B, Qureshi MN, Khalil S. 2020. Variance estimation using randomized response technique. Revstat Stat. J. 18:165–176.
  • Gupta S, Gupta B, Singh S. 2002. Estimation of sensitivity level of personal interview survey questions. J Stat Plan Inference. 100:239–247.
  • Gupta S, Kalucha G, Shabbir J, Dass, BK. 2014. Estimation of finite population mean using optional RRT models in the presence of non-sensitive auxiliary information. Am J Math Manag Sci. 33:147–159.
  • Gupta S, Mehta S, Shabbir J, Khalil S. 2018. A unified measure of respondent privacy and model efficiency in quantitative RRT models. J Stat Theory Pract. 12:506–511.
  • Hansen MH, Hurwitz WN. 1946. The problem of non-response in sample surveys. J Am Stat Assoc. 41:517–529.
  • Khalil S, Noor-Ul-Amin M, Hanif M. 2018. Estimation of population mean for a sensitive variable in the presence of measurement error. J Stat Manag Syst. 21:81–91.
  • Khalil S, Zhang Q, Gupta S. 2021. Mean estimation of sensitive variables under measurement errors using optional RRT models. Commun Stat Simul Comput. 50:1417–1426.
  • Kumar S, Bhogal S, Nataraja NS, Viswanathaiah M. 2015. Estimation of population mean in the presence of non-response and measurement error. Rev Colomb Estad. 38:145–161.
  • Kumar S, Chowdhary M. 2021. Estimation of population product in the presence of non-response and measurement error in successive sampling. Math Sci Lett. 10:71–83.
  • Kumar S, Kour SP. 2022. The joint influence of estimation of sensitive variable under measurement error and non-response using ORRT models. J Stat Comput Simul. 92:3583–3604.
  • Kumar S, Singh HP, Bhougal S, Gupta R. 2011. A class of ratio-cum-product type estimators under double sampling in the presence of non-response. J Math Stat. 40:589–599.
  • Kumar S, Trehan M, Joorel JPS. 2018. A simulation study: estimation of population mean using two auxiliary variables in stratified random sampling. J Stat Comput Simul. 88:3694–3707.
  • Kumar S. 2016. Improved estimation of population mean in presence of nonresponse and measurement error. J Stat Theory Pract. 10:707–720.
  • Makhdum M, Sanaullah A, Hanif M. 2020. A modified regression-cum-ratio estimator of population mean of a sensitive variable in the presence of non-response in simple random sampling. J Stat Manag Syst. 23:495–510.
  • Singh N, Vishwakarma GK, Kim, JM. 2019. Computing the effect of measurement errors on efficient variant of the product and ratio estimators of mean using auxiliary information. Commun Stat Simul Comput. 51:1–22.
  • Singh N, Vishwakarma, GK. 2019. A generalized class of estimator of population mean with the combined effect of measurement errors and non-response in sample survey. Rev Investig Oper. 40:275–285.
  • Singh SR, Sharma P. 2015. Method of estimation in the presence of non-response and measurement errors simultaneously. J Mod App Stat Meth. 14:107–121.
  • Zhang Q, Khalil S, Gupta S. 2021. Mean estimation of sensitive variables under non-response and measurement errors using optional RRT models. J Stat Theory Pract. 15:1–15.