A New Mean Estimator using Auxiliary Variables for Randomized Response Models

Ozgul N., ÇINGI H.

11th International Conference of Numerical Analysis and Applied Mathematics (ICNAAM), Yunanistan, 21 - 27 Eylül 2013, cilt.1558, ss.1474-1477 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 1558
  • Doi Numarası: 10.1063/1.4825797
  • Basıldığı Ülke: Yunanistan
  • Sayfa Sayıları: ss.1474-1477
  • Hacettepe Üniversitesi Adresli: Evet

Özet

Randomized response models are commonly used in surveys dealing with sensitive questions such as abortion, alcoholism, sexual orientation, drug taking, annual income, tax evasion to ensure interviewee anonymity and reduce nonrespondents rates and biased responses. Starting from the pioneering work of Warner [7], many versions of RRM have been developed that can deal with quantitative responses. In this study, new mean estimator is suggested for RRM including quantitative responses. The mean square error is derived and a simulation study is performed to show the efficiency of the proposed estimator to other existing estimators in RRM.