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

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

doi:10.57805/revstat.v22i3.508

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

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

DOI:

https://doi.org/10.57805/revstat.v22i3.508

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.

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REVSTAT2024vol22n3_1

Published

2024-09-20

How to Cite

Aloraini, B., Khalil, S., Nouman Qureshi, M., & Gupta , S. (2024). Estimation of Population Variance for a Sensitive Variable in Stratified Sampling Using Randomized Response Technique. REVSTAT-Statistical Journal, 22(3), 277–292. https://doi.org/10.57805/revstat.v22i3.508