An Improved Class of Mixed Ratio Type Estimators for 
Population Mean of a Finite Population

Kalyani Sunani; Srijib Bhusan Bagchi; Manas Kumar Sahu

doi:https://doi.org/10.14445/22315373/IJMTT-V70I12P101

International Journal of Mathematics Trends and Technology

Research Article | Open Access | Download PDF

Volume 70 | Issue 12 | Year 2024 | Article Id. IJMTT-V70I12P101 | DOI : https://doi.org/10.14445/22315373/IJMTT-V70I12P101

An Improved Class of Mixed Ratio Type Estimators for Population Mean of a Finite Population

Kalyani Sunani, Srijib Bhusan Bagchi, Manas Kumar Sahu

Received	Revised	Accepted	Published
14 Oct 2024	28 Nov 2024	14 Dec 2024	29 Dec 2024

Abstract

This article explains a class of improved ratio and dual-to-ratio type estimators for estimating finite population mean. We have assumed that the study variable y highly correlates with the auxiliary variable x. The properties of the proposed class of estimators have been obtained theoretically, and the conditions under which the proposed class of estimators is more efficient than the other competing estimators are discussed. The empirical study has been carried out by considering some natural populations in the literature.

Keywords

Auxiliary variable, Study variable, Mean square error, Percent relative efficiency.

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Citation :

Kalyani Sunani, Srijib Bhusan Bagchi, Manas Kumar Sahu, "An Improved Class of Mixed Ratio Type Estimators for Population Mean of a Finite Population," International Journal of Mathematics Trends and Technology (IJMTT), vol. 70, no. 12, pp. 1-8, 2024. Crossref, https://doi.org/10.14445/22315373/IJMTT-V70I12P101