Estimation of Population Variance for a Sensitive Variable in Stratified Sampling Using Randomized Response Technique: Accepted: June 2022

Badr Aloraini; Sadia Khalil; Muhammad Nouman Qureshi; Sat Gupta

Forthcoming

Estimation of Population Variance for a Sensitive Variable in Stratified Sampling Using Randomized Response Technique

Accepted: June 2022

Authors

Badr Aloraini University of North Carolina at Greensboro https://orcid.org/0000-0002-3839-8160
Sadia Khalil Lahore College for Women University https://orcid.org/0000-0002-5814-7326
Muhammad Nouman Qureshi National College of Business Administration and Economics https://orcid.org/0000-0002-6006-3308
Sat Gupta University of North Carolina at Greensboro https://orcid.org/0000-0002-3661-9329

Keywords:

auxiliary Information, mean squared error, stratified random sampling, respondent privacy, variance estimation

Abstract

In this paper, Randomized Response technique (RRT) is used to propose some separate and combined variance estimators for a sensitive variable using stratified random sampling. The performances of the proposed estimators are examined using a unifed measure of respondent privacy and estimator efficiency.

Downloads

FP_REVSTAT2022_jun1a

Published

2022-06-14

How to Cite

Aloraini, B., Khalil, S., Nouman Qureshi, M., & Gupta , S. (2022). Estimation of Population Variance for a Sensitive Variable in Stratified Sampling Using Randomized Response Technique: Accepted: June 2022. REVSTAT-Statistical Journal. Retrieved from https://revstat.ine.pt/index.php/REVSTAT/article/view/508