Almost Unbiased Estimators for Population Coefficient of Variation Using Auxiliary Information

Singh, Rajesh and Mishra, Rohan and Kumari, Anamika and Yadav, Sunil Kumar (2024) Almost Unbiased Estimators for Population Coefficient of Variation Using Auxiliary Information. Asian Journal of Probability and Statistics, 26 (5). pp. 1-18. ISSN 2582-0230

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Abstract

The objective of the paper is to propose an almost unbiased ratio estimator for the finite coefficient of variation (CV). In this paper, we have proposed an exponential ratio type and log ratio type estimators for estimating population coefficient of variation. Two real data sets and one simulation study is carried out in support of the theoretical results. Mean squared error and Percent relative efficiency criteria is used to assess the performance of the estimators. It has been shown that the proposed class of estimators are almost unbiased up to the first order of approximation. Also proposed estimators are better in efficiency to other estimators consider in this study.

Item Type: Article
Subjects: Science Global Plos > Mathematical Science
Depositing User: Unnamed user with email support@science.globalplos.com
Date Deposited: 09 May 2024 05:09
Last Modified: 09 May 2024 05:09
URI: http://ebooks.manu2sent.com/id/eprint/2655

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