Variance Estimation Using Randomized Response Technique

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 p...

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Bibliographic Details
Main Authors: Sat Gupta, Muhammad Nouman Qureshi, Sadia Khalil
Format: Article
Language:English
Published: Instituto Nacional de Estatística | Statistics Portugal 2020-05-01
Series:Revstat Statistical Journal
Subjects:
Online Access:https://revstat.ine.pt/index.php/REVSTAT/article/view/294
Description
Summary: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.
ISSN:1645-6726
2183-0371