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Journals / Hacettepe Journal of Mathematics and Statistics / 2015 / Cilt: 44 - Sayı: 5

Study of Yadav and Kadilar's improved exponential type ratio estimator of population variance in two-phase sampling

Housila P. SİNGH
Tanveer A TARRAY
Ragen GOLİ
Pages
1257–1270
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

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

We have compared the proposedestimator with usual unbiased estimator and usual double samplingratio estimator and shown that the proposed estimator is better thanusual unbiased estimator and other existing estimators under some realistic conditions to two-phase sampling.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This paper presents a double sampling version of Yadav and Kadilar(2013) estimator alongwith its properties under large sample approximation.
📊
Key Findings & Data:Cost aspect is also discussed.
💡
Conclusion & Impact:We have compared the proposedestimator with usual unbiased estimator and usual double samplingratio estimator and shown that the proposed estimator is better thanusual unbiased estimator and other existing estimators under some realistic conditions to two-phase sampling.
🔬Design:Research Article
📍Scope:2013 Verileri
⚙️Variables:Domain Parameters

Abstract

This paper presents a double sampling version of Yadav and Kadilar(2013) estimator alongwith its properties under large sample approximation. Cost aspect is also discussed. We have compared the proposedestimator with usual unbiased estimator and usual double samplingratio estimator and shown that the proposed estimator is better thanusual unbiased estimator and other existing estimators under some realistic conditions to two-phase sampling.

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Cite This Article

SİNGH, H. P., TARRAY, T. A., GOLİ, R. (2022). Study of Yadav and Kadilar's improved exponential type ratio estimator of population variance in two-phase sampling. Hacettepe Journal of Mathematics and Statistics, Cilt: 44 - Sayı: 5, 1257–1270. https://ajindex.com/articles/530250

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References (9)

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