Variance Estimation Using Randomized Response Technique

Sat Gupta; Muhammad Nouman Qureshi; Sadia Khalil

doi:10.57805/revstat.v18i2.294

Variance Estimation Using Randomized Response Technique

Authors

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

DOI:

https://doi.org/10.57805/revstat.v18i2.294

Keywords:

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

Abstract

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.

Downloads

REVSTAT2020v18n2_2

Published

2020-05-29

How to Cite

Gupta , S., Nouman Qureshi , M., & Khalil , S. (2020). Variance Estimation Using Randomized Response Technique. REVSTAT-Statistical Journal, 18(2), 165–176. https://doi.org/10.57805/revstat.v18i2.294