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New Exponential-Type Estimators of Finite Population Variance Using Auxiliary Information

Authors:

Mathe Olaniyi Olayiwola,

Federal University of Agriculture, Abeokuta, NG
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Ishaq Olatunji Olawoyin ,

Kano University of Science and Technology, NG
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Ahmed Audu

Usmanu Danfodiyo University, Sokoto, NG
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Abstract

In this study, some existing finite population variance estimators for study variable have been modified using linear combination and power improvement techniques. Asymptotic properties (Biases and MSEs) of the suggested estimators are derived up to the terms of first-order approximation using Taylor’s Series expansion. The numerical illustration was also supported by six real-life data sets and simulated data set using R to corroborate the theoretical results. In general, the results reveal that the proposed estimators outperformed the existing estimators considered in the study.
How to Cite: Olayiwola, M.O., Olawoyin, I.O. and Audu, A., 2021. New Exponential-Type Estimators of Finite Population Variance Using Auxiliary Information. Sri Lankan Journal of Applied Statistics, 22(2), pp.56–76. DOI: http://doi.org/10.4038/sljastats.v22i2.8047
Published on 31 Oct 2021.
Peer Reviewed

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