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

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.

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Publication Details

Journal
International Journal of Mathematics Trends and Technology
Published
2024-12-30
DOI
https://doi.org/10.14445/22315373/ijmtt-v70i12p101
Primary Topic
Survey Sampling and Estimation Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Srijib Bhusan Bagchi, Kalyani Sunani, Manas Kumar Sahu
International Journal of Mathematics Trends and Technology
Survey Sampling and Estimation Techniques
article

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

Srijib Bhusan Bagchi, Kalyani Sunani, Manas Kumar Sahu
article en

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.

International Journal of Mathematics Trends and TechnologyVol. 70(12)
Openalex Percentile: Top 74%
Survey Sampling and Estimation Techniques
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