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Annals of Data Science

Erschienen in:

29.05.2020

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

verfasst von: Ashutosh

Erschienen in: Annals of Data Science | Ausgabe 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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Titel: Estimation of Domain Mean Using Conventional Synthetic Estimator with Two Auxiliary Characters
verfasst von: Ashutosh
Publikationsdatum: 29.05.2020
Verlag: Springer Berlin Heidelberg
Erschienen in: Annals of Data Science / Ausgabe 1/2023
Print ISSN: 2198-5804
Elektronische ISSN: 2198-5812
DOI: https://doi.org/10.1007/s40745-020-00287-9

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