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Estimation of Domain Mean Using Conventional Synthetic Estimator with Two Auxiliary Characters

Estimation of Domain Mean Using Conventional Synthetic Estimator with Two Auxiliary Characters The estimation of domain mean is being accelerated applied to draft program policy in the government and private sectors. The use of two auxiliary characters is better choice as compared to single auxiliary character. The main interest is to consist information about an additional auxiliary character z in auxiliary character x and utilize for interested domain. This paper has investigated conventional generalized synthetic estimator for domain mean using two auxiliary characters x and z, and also discussed its properties. A comparative study of the proposed estimator has been made with the conventional ratio and conventional generalized estimators in terms of absolute relative bias and simulated relative standard error. It has evaluated, the proposed estimator is more efficient than the relevant estimators. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Annals of Data Science Springer Journals

Estimation of Domain Mean Using Conventional Synthetic Estimator with Two Auxiliary Characters

Annals of Data Science , Volume 10 (1) – Feb 1, 2023

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References (21)

Publisher
Springer Journals
Copyright
Copyright © Springer-Verlag GmbH Germany, part of Springer Nature 2020
ISSN
2198-5804
eISSN
2198-5812
DOI
10.1007/s40745-020-00287-9
Publisher site
See Article on Publisher Site

Abstract

The estimation of domain mean is being accelerated applied to draft program policy in the government and private sectors. The use of two auxiliary characters is better choice as compared to single auxiliary character. The main interest is to consist information about an additional auxiliary character z in auxiliary character x and utilize for interested domain. This paper has investigated conventional generalized synthetic estimator for domain mean using two auxiliary characters x and z, and also discussed its properties. A comparative study of the proposed estimator has been made with the conventional ratio and conventional generalized estimators in terms of absolute relative bias and simulated relative standard error. It has evaluated, the proposed estimator is more efficient than the relevant estimators.

Journal

Annals of Data ScienceSpringer Journals

Published: Feb 1, 2023

Keywords: Domain mean; Auxiliary character; Conventional synthetic estimator; Absolute relative bias; Simulated relative standard error; 62D05

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