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

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  • Ashutosh

    (Banaras Hindu University)

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.

Suggested Citation

  • Ashutosh, 2023. "Estimation of Domain Mean Using Conventional Synthetic Estimator with Two Auxiliary Characters," Annals of Data Science, Springer, vol. 10(1), pages 153-166, February.
    • Handle: RePEc:spr:aodasc:v:10:y:2023:i:1:d:10.1007_s40745-020-00287-9
    DOI: 10.1007/s40745-020-00287-9
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    References listed on IDEAS

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    1. Tanin Sirimongkolkasem & Reza Drikvandi, 2019. "On Regularisation Methods for Analysis of High Dimensional Data," Annals of Data Science, Springer, vol. 6(4), pages 737-763, December.
    2. Havva Alizadeh Noughabi & Mohsen Kahani & Alireza Shakibamanesh, 2018. "Enhancing Situation Awareness Using Semantic Web Technologies and Complex Event Processing," Annals of Data Science, Springer, vol. 5(3), pages 487-496, September.
    3. K. K. Pandey & P. K. Rai, 2013. "Synthetic estimators using auxiliary information in small domains," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 14(1), pages 31-44, March.
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