Variance Estimation Using Randomized Response Technique


  • Sat Gupta University of North Carolina at Greensboro
  • Muhammad Nouman Qureshi National College of Business Administration and Economics
  • Sadia Khalil Lahore College for Women University



auxiliary information, Mean Square Error, Randomized Response Technique, respondent privacy, variance estimation


Variance estimation is a well-studied topic in survey sampling but not much work has been done in this area in the context of Randomized Response Technique (RRT) models. We propose here some variance estimators for sensitive variables using auxiliary information. We examine the performance of the proposed estimators through a simulation study and through a numerical example.



How to Cite

Gupta , S., Nouman Qureshi , M., & Khalil , S. (2020). Variance Estimation Using Randomized Response Technique. REVSTAT-Statistical Journal, 18(2), 165–176.