In order to get the idea of gain in eciency and model stability numerical and graphical eciency comparisons are done for the two models under two mentioned cases.
📌 3 Key Takeaways
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Objective & Hypothesis:We have proposed two mixed randomized response models for surveying sensitive issues.
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Key Findings & Data:We proved that the proposed models are unconditionally ecient than [13, 15, 16, 20].
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Conclusion & Impact:In order to get the idea of gain in eciency and model stability numerical and graphical eciency comparisons are done for the two models under two mentioned cases.
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
We have proposed two mixed randomized response models for surveying sensitive issues. The properties of proposed estimators are derived under the simple and stratied random sampling schemes while considering completely and less than completely truthful reporting cases. We proved that the proposed models are unconditionally ecient than [13, 15, 16, 20]. In order to get the idea of gain in eciency and model stability numerical and graphical eciency comparisons are done for the two models under two mentioned cases.
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Cite This Article
BATOOL, F., FATİMA, K., HUSSAİN, Z. (2022). Two mixed randomized response models under simple and strati ed random sampling with replacement schemes. Hacettepe Journal of Mathematics and Statistics, Cilt: 47 - Sayı: 2, 403–422. https://ajindex.com/articles/529877
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