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Annals of Data Science
Published in: Annals of Data Science 1/2023

29-05-2020

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

Author: Ashutosh

Published in: Annals of Data Science | Issue 1/2023

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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.
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Metadata
Title
Estimation of Domain Mean Using Conventional Synthetic Estimator with Two Auxiliary Characters
Author
Ashutosh
Publication date
29-05-2020
Publisher
Springer Berlin Heidelberg
Published in
Annals of Data Science / Issue 1/2023
Print ISSN: 2198-5804
Electronic ISSN: 2198-5812
DOI
https://doi.org/10.1007/s40745-020-00287-9

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