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Journals / Hacettepe Journal of Mathematics and Statistics / 2018 / Cilt: 47 - Sayı: 1

An e cient new class of estimators of population variance using information on auxiliary attribute in sample surveys

Housila P. SİNGH
Surya K. PAL
Pages
267–277
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

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

The theoretical ndings are well supported through an empirical study.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This paper addresses the problem of estimating the population variance S 2 y of the study variate Y when information on an auxiliary attribute is available.
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Key Findings & Data:We have suggested a new class of estimators for the population variance S 2 y using information on an auxiliary attribute.
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Conclusion & Impact:The theoretical ndings are well supported through an empirical study.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

This paper addresses the problem of estimating the population variance S 2 y of the study variate Y when information on an auxiliary attribute is available. We have suggested a new class of estimators for the population variance S 2 y using information on an auxiliary attribute. It has been shown that the proposed class of estimators is more ecient than those estimators considered by [16], [19] and [23]. The theoretical ndings are well supported through an empirical study.

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Cite This Article

SİNGH, H. P., PAL, S. K. (2022). An e cient new class of estimators of population variance using information on auxiliary attribute in sample surveys. Hacettepe Journal of Mathematics and Statistics, Cilt: 47 - Sayı: 1, 267–277. https://ajindex.com/articles/530177

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