Estimation of population variance using optional randomized response technique model in the presence of measurement errors

Measurement errors are an important consideration in sample surveys. Neglecting their influence can give misleading and inaccurate results. In this paper, we propose three variance estimators using Optional Randomized Response Technique (ORRT) in the presence of measurement error. Performance of the...

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Bibliographic Details
Published in:Communications in statistics. Simulation and computation 2024-12, Vol.53 (12), p.5994-6008
Main Authors: Gupta, Sat, Aloraini, Badr, Qureshi, Muhammad Nouman, Khalil, Sadia
Format: Article
Language:English
Subjects:
Auxiliary information
Error analysis
Estimators
Mean squared error
Measurement errors
Optional randomized response technique
Population statistics
Respondent privacy
Variance
Variance estimation
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Summary:Measurement errors are an important consideration in sample surveys. Neglecting their influence can give misleading and inaccurate results. In this paper, we propose three variance estimators using Optional Randomized Response Technique (ORRT) in the presence of measurement error. Performance of the proposed estimators are evaluated through a simulation study and a numerical example.
ISSN:0361-0918
1532-4141
DOI:10.1080/03610918.2022.2042019