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Journals / Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi / 2020 / Cilt: 36 - Sayı: 3

Improvement in Exponential Estimators of Population Mean using Information on Auxiliary Attribute

Tolga ZAMAN
Pages
325–332
Publication Date
2020-12-31
DOI
—
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AI Summary & Key Takeaways

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

In addition, these results are supported by an application with original data sets.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This paper proposes new exponential estimators combining ratio estimators for estimate population mean of study variable using information about population proportion possessing certain attributes.
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Key Findings & Data:It is obtained mean square error (MSE) equations for all proposed ratio exponential estimators and is shown that all proposed exponential estimators are always more efficient than the ratio estimators.
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Conclusion & Impact:In addition, these results are supported by an application with original data sets.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Exponential Estimators · Simple Random Sampling · Mean Square Error

Özet

This paper proposes new exponential estimators combining ratio estimators for estimate population mean of study variable using information about population proportion possessing certain attributes. It is obtained mean square error (MSE) equations for all proposed ratio exponential estimators and is shown that all proposed exponential estimators are always more efficient than the ratio estimators. In addition, these results are supported by an application with original data sets.

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Cite This Article

ZAMAN, T. (2020). Improvement in Exponential Estimators of Population Mean using Information on Auxiliary Attribute. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi, Cilt: 36 - Sayı: 3, 325–332. https://ajindex.com/articles/252983

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References (13)

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