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Journals / Hacettepe Journal of Mathematics and Statistics / 2008 / Cilt: 37 - Sayı: 2

New generalized estimators for the population variance using auxiliary information

Hulya CİNGİ
Yesim Unyazıcı TURGUT
Pages
177–184
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

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

We illustrate the results with an application using original data.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:We suggest a generalized class of estimators for the population variance using an auxiliary variable.
📊
Key Findings & Data:A general method of estimation and its applica- tion to the estimation of coefficient of variation, Statistics in Transition 5(6), 887–908, 2002) proposed some generalized estimators for a popu- lation parameter.
💡
Conclusion & Impact:We illustrate the results with an application using original data.
🔬Design:Research Article
📍Scope:2002 Verileri
⚙️Variables:Domain Parameters

Abstract

We suggest a generalized class of estimators for the population variance using an auxiliary variable. Triphati et al. (T.P. Tripathi, Singh, H.P. and Upadhyaya, L.N. A general method of estimation and its applica- tion to the estimation of coefficient of variation, Statistics in Transition 5(6), 887–908, 2002) proposed some generalized estimators for a popu- lation parameter. By adapting these estimators to population variance, we develop some estimators. We obtain the mean square error (MSE) equation of the proposed estimators. We illustrate the results with an application using original data.

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Cite This Article

CİNGİ, H., TURGUT, Y. U. (2022). New generalized estimators for the population variance using auxiliary information. Hacettepe Journal of Mathematics and Statistics, Cilt: 37 - Sayı: 2, 177–184. https://ajindex.com/articles/530722

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References (7)

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  6. Tripathi, T.P., Singh, H.P. and Upadhyaya, L.N. A general method of estimation and its application to the estimation of coefficient of variation, Statistics in Transition 5(6), 887– 908, 2002
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