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Journals / Hacettepe Journal of Mathematics and Statistics / 2017 / Cilt: 46 - Sayı: 2

Hartley-Ross type unbiased estimators using the stratiffed random sampling

Hatice ÖNCEL ÇEKİM
Cem KADİLAR
Pages
293–302
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

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⚡ TL;DR(Too Long; Didn't Read)

Finally, we also demonstrate theoretical findings bythe support of numerical illustrations.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study mentions Hartley-Ross type unbiased ratio estimators ofthe finite population mean in the stratiffed random sampling using theauxiliary variable.
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Key Findings & Data:We propose the unbiased estimators using the estimatorsin Kadilar and Cingi [5],[6].
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Conclusion & Impact:Finally, we also demonstrate theoretical findings bythe support of numerical illustrations.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

This study mentions Hartley-Ross type unbiased ratio estimators ofthe finite population mean in the stratiffed random sampling using theauxiliary variable. We propose the unbiased estimators using the estimatorsin Kadilar and Cingi [5],[6]. We derive the variance equations,up to the first degree of approximation, for all proposed estimators.The proposed estimators have been compared with the mentioned estimatorsin theory. Finally, we also demonstrate theoretical findings bythe support of numerical illustrations.

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Cite This Article

ÇEKİM, H. Ö., KADİLAR, C. (2022). Hartley-Ross type unbiased estimators using the stratiffed random sampling. Hacettepe Journal of Mathematics and Statistics, Cilt: 46 - Sayı: 2, 293–302. https://ajindex.com/articles/529936

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References (11)

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