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Journals / Hacettepe Journal of Mathematics and Statistics / 2016 / Cilt: 45 - Sayı: 2

An Improved Bar - Lev, Bobovitch and Boukai randomized response model using moments ratios of scrambling variable

Tanveer A. Tarray
Housila P. Singh
Pages
593–608
Publication Date
2022-10-18
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Numerical illustrations are also given to support the present study.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this paper, we have suggested a new randomized response model and its properties have been studied.
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Key Findings & Data:The proposed model is found to be more efficient than the randomized response models studied by Bar – Lev et al. (2004) and Eichhorn and Hayre (1983).
💡
Conclusion & Impact:Numerical illustrations are also given to support the present study.
🔬Design:Modeling & Simulation
📍Scope:2004 Verileri
⚙️Variables:Randomized response sampling · Estimation of mean · Respondents protection

Abstract

In this paper, we have suggested a new randomized response model and its properties have been studied. The proposed model is found to be more efficient than the randomized response models studied by Bar – Lev et al. (2004) and Eichhorn and Hayre (1983). The relative efficiency of the proposed model has been studied with respect to the Bar – Lev et al.’s (2004) and Eichhorn and Hayre’s (1983) models. Numerical illustrations are also given to support the present study.

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Cite This Article

Tarray, T. A., Singh, H. P. (2022). An Improved Bar - Lev, Bobovitch and Boukai randomized response model using moments ratios of scrambling variable. Hacettepe Journal of Mathematics and Statistics, Cilt: 45 - Sayı: 2, 593–608. https://ajindex.com/articles/530101

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References (12)

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